Princeton, NJ Production Jobs

Jobs from our Partners

We've Scoured the Internet for EVEN MORE JOBS!

Premium members can apply to 2915 more Jobs from Our Partners, including 25 jobs that match your search.

Upgrade to Premium

6/6

Princeton, NJ Details

Full Time

Our Team:

*** 's Data and Runtime Stability SRE team is trusted to administer the end-to-end environment for *** 's installation of numerous services which support the applications that constitute *** 's line of products. On any given day we're inventing, engineering, developing, building, coding, trouble-shooting and maintaining a wide range of: tools, monitors, frameworks, interfaces, protocols, solutions and best-practices. These components stitch together a robust suite of automated and self-healing systems that manage the services that Data and Runtime provides to the rest of the firm. We improve uptime, provision and balance resources, architect and coordinate operational procedures, administer backup and recovery processes, coordinate maintenance windows, manage replication and oversee workflows.

The Role:

In addition to managing the overall Data and Runtime environment, you'll work directly on installations of technologies that use services such as RabbitMQ, Comdb2, Kafka, Redis and many more; getting to collaborate every day with the application developers that create these applications to integrate the services they provide into the *** operational environment as well as *** products. So, not only will you have high-level-ownership and "the classic SRE responsibilities" such as: system tuning, performance analysis and the management of patches, installations, and upgrades; you'll also have im *** te access to the experts that are designing and coding the *** specific components, APIs and methods. This means insight and entry to the lowest levels of how *** applications interact with each other and the Runtime environment for the purposes of both in-depth troubleshooting and enhancing stability, reliability, performance and feature-set.
We're open to trying new ideas, processes, and technologies. The right applicant will be imaginative, creative, self-motivated, and highly curious as innovation and initiative are highly valued here. Problem-solving, programming, logical frameworks, and Unix systems should all be second nature. We are looking for someone that will continually strive to improve our environment; regularly asking "why?" and saying: "we can make this *** ter!"

You'll need to have:

4+ years of programming experience with Python
A degree in Computer Science, Engineering or similar field of study or equivalent work experience
5+ years experience with Unix, Unix tools and shell scripting
Deep understanding of TCP/IP networking and the OSI model
Experience designing and automating repeatable processes in a client/server modeled environment
Experience supporting a highly available production systems
Ability to build and maintain highly sophisticated, performant, and scalable, critically important systems
Experience building monitors and alarms for system performance, status and stability
Experience with CI/CD systems and writing robust unit and system tests

We'd love to see:

Experience in Rapid framework
Experience analyzing existing systems and identifying shortcomings with concrete ideas for improvement
C programming skills
Experience designing stable, long-lasting APIs
Experience with Splunk/Humio and Grafana
Experience with GitHub and JIRA.

*** is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up]

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

6/6

Bloomberg Intelligence, Editor

Princeton, NJ Details

Full Time

*** Intelligence ("BI") conducts in-depth equity, fixed income, legal and policy research on large and midsize companies to help investors and industry professionals effectively evaluate those companies and the broader markets. We also produce extensive regional and global equity and fixed-income strategy research.

Our research combines written analysis with interactive charting and analytics created from company-reported data as well as industry and government data. Our work gives trading, investment and industry professionals and other *** Terminal clients deep insight into where crucial sectors or regions stand and where they may be heading.

THE ROLE

BI seeks an experienced editor who thrives under real-time deadline pressure in a complex, innovative environment. This role entails editing financial research to be forward-looking, creative, insightful, critical to the specialist and accessible to the generalist. You'll play a key role in helping analysts develop and maintain their franchises, using strategic publishing, data visualization, multichannel distribution and broad cross-firm collaboration. You can translate jargon and complex ideas into clear language. You'll be a key part of our growth and innovation, helping us raise our skillset and expand readership. The successful editor can multitask across diverse platforms, collaborate and wear multiple hats, in a real-time environment.

WE'LL TRUST YOU TO:

Deploy strong writing, editing, multi *** and data visualization skills
Handle deadline pressure in an intense real-time environment
Edit short-form research to be compelling and concise
Edit long-form reports for story arc/narrative flow, cohesiveness and consistency
Be a team player who can help raise our skillset

WE'D LOVE TO SEE:

Health-care research coverage experience a plus
Audio & video editing experience helpful
Apply if you think we're a good match. We'll get in touch to let you know that the next steps are, but in the meantime feel free to have a look at:

***

*** is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up].

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

5/12

Company Financials Health Care Team Leader

Princeton, NJ Details

Full Time

*** runs on data. In *** Data, we're responsible for on-boarding, analyzing, applying, and supplying it to our clients for their financial data needs. Across Company Financials Data Teams, we move markets by providing our clients with sought-after reported-on and broker-estimated financials that are normalized across industries and companies, key analytical ratios, and industry-specific data points. More than 320,000 business leaders rely on the real time financial information available on the *** Professional Service. Our products run on intelligence and industry-specific insight provided by Data's Company Financials team. Our team of sector-aligned analysts i *** uence investment decisions and move the markets every day, and we are growing.
Using innovative, collaborative, and client focused approaches to data extraction, aggregation, and standardization, Company Financials Data analysts use industry knowledge and company financial data subject matter expertise in order to build a comprehensive client experience across the product offering throughout the earnings cycle, including pre-earnings through guidance and consensus creation, at the time of earnings through the IPO process all the way to the quarterly reporting process from earnings to preliminary results to audited full financial results, providing performance and surprise analysis, for robust company and peer analysis.

Here's where our team's industry expertise comes into play. Whether we are sourcing market data from new or existing providers or processing complex financial data - our team's work will help ensure the consistency and quality of company portfolios at an industry level.

The Role:

The North America Company Financials Healthcare Team is looking for a Team Leader to lead and develop a hard-working team of Healthcare industry specialists, leading the data onboarding and analysis across the sector, including Bio-Pharma (Development stage, mature Bio-Pharma, Generics, and Specialty), Medical Devices + Technology, Hospitals, and Healthcare Services. Your role is key in ensuring consistency of standards within the sector and collaborating with others to lead all aspects of the delivery of accurate and timely financials data while curating company and industry specific analysis.

In this role, you will be expected apply your expertise across the diverse Healthcare sector, and lead disparate sources of data. You'll need to drive the development of financial knowledge and analytical thinking in your team to derive meaningful insights for our customers. Your team will transform sophisticated data and work processes into financial data products that are indispensable to our users. This position requires extensive collaboration with global colleagues, and partners across all business units including Business Managers, News, *** Intelligence, Sales & Analytics, our Data Governance team, and Engineering.

We'll trust you to:

Leverage a high-level understanding of the diverse US Healthcare sector, in order to identify, gather, and analyze disparate datasets in a proficient and timely manner, to provide information and analysis for clients. This includes staying current on relevant issues and trends across the Healthcare sub sectors.
Recruit, mentor, and develop a team of analysts who will be industry specialists and experts in their product demonstrated through processing time-sensitive, high-quality data, data analysis, and project management. They will need to lead various projects that may include prescription/hospital Sales/drug pricing data analysis, US regulatory, policy + IP research, product pipeline/clinical data aggregation, medical de *** pricing/usage/claims analysis, Medicare/Medicaid datasets, Formulary plan audits, Hospital (public and private) economic analysis, and Epidemiology data forecasting
Empower your team to provide news and content on Healthcare market developments, with technical analysis of market trends to assist our Product team and customers
Collaborate with global counterparts to evolve the role, workflow, and operating procedures to ensure consistency in data quality and timeliness across regions, as well as knowledge share in regional Healthcare subsector differences.
Create processes and standards that make sure the delivery of data and the level customer ser *** goes above and beyond
Work with other data and core business groups, such as Product, Sales, News and Engineering to help develop and enhance product databases and functionality across the terminal
Apply your passion for deep learning of an industry to our team's overall vision, and leverage that knowledge to drive decisions about interoperability of data relevant to that industry
Lead and mentor team on large and sophisticated data projects and business initiatives related to the industries they cover
Set a strategy to recruit, retain, and develop top talent within your team and global counterparts

You'll need to have:

Proven leadership experience within a previous or current role
Bachelor's degree in Finance, Economics, Accounting, Mathematics, Statistics, or Business, or in a related field of study such as Biotechnology, Molecular Biology, Microbiology, Genetics, and Biochemistry
An understanding of how the US Healthcare sector functions with a competency in analyzing clinical, regulatory, legal/IP, government/Medicare/Medicaid, and product launches
Proven expertise in at least one Healthcare sub-sector (Bio-Pharma/Generics/Specialty, Medical Devices, Hospital or Services)
Vision to align your team's goals around providing superior ser *** to Business and other internal/external clients, and the ability to implement a business and people strategy which delivers on that vision
Excellent communication skills, allowing you to clearly communicate business needs and to advocate on behalf of your team
Strong understanding of the wide-ranging impact of financial data
Well-honed listening skills, allowing you to draw understanding of your team and clients' needs
Proven ability to establish strong credibility and build i *** uential relationships with multiple internal and external clients and partners
Creative and flexible approach to problem solving, aided by strong data analysis skills
Passion for building deep sector and industry knowledge, and demonstrated interest in and familiarity with a specific sector

We'd love to see:

CFA designation (or working towards it)
Deep understanding of the US Healthcare data landscape and the competitors that participate in providing myriad datasets to the Financial and Corporate audiences
Deep knowledge of the various Healthcare data classification systems and ontologies currently used to create linked data models
Ability to use industry datasets to build current market share views + forecasts, milestone analysis, and epidemiology outlooks
Experience or knowledge in *** Company Financials Products, *** terminal fluency, and/or *** Global Data workflows
Experience or strong interest in financial modeling, including strong Excel and PowerPoint skills, SQL experience, Modeling and Coding experience.
Experience working with industry data as part of your product coverage
Experience using data visualization tools such as QlikSense

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.

*** is committed to diversity. It drives our innovation. At *** , you'll have the opportunity to go above and beyond and to take risks. You'll be a part of an organization that is entering new markets, launching new ventures, and pushing boundaries. Our ever-expanding array of technology, data, news, and *** services champions innovation and empowers clients -- and offers nearly limitless opportunities for career growth.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We bring out the best in each other.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

5/11

Financial Services & Reits Team Leader- Company Financials

Princeton, NJ Details

Full Time

*** runs on data. In *** Data, we're responsible for on-boarding, analyzing, applying and supplying it to our clients for their financial data needs. Across Company Financials Data Teams, we move markets by providing our clients with sought-after reported-on and broker-estimated financials that are normalized across industries and companies, key analytical ratios, and industry-specific data points. More than 320,000 business leaders rely on the real time financial information available on the *** Professional Service. Our products run on intelligence and industry-specific insight provided by Data's Company Financials team. Our team of sector-aligned analysts i *** uence investment decisions and move the markets every day, and we are growing.

Using innovative, collaborative, and customer focused approaches to data extraction, aggregation, and standardization, Company Financials Data analysts use industry knowledge and company financial data subject matter expertise in order to build a comprehensive client experience across the product offering throughout the earnings cycle, including pre-earnings through guidance and consensus creation, at the time of earnings through the IPO process all the way to the quarterly reporting process from earnings to preliminary results to audited full financial results, providing performance and surprise analysis, for robust company and peer analysis.

Here's where our team's industry expertise comes into play. Whether we are sourcing market data from new or existing providers or processing sophisticated financial data - our team's work will help ensure the consistency and quality of company portfolios at an industry level.

The Role:

The Financial Services Data Team is looking for a Team Leader to lead and develop a strong team of industry specialists, leading the data management and analysis for the sector, including specialty finance, institutional financial services, and financial data processors, as well as real estate investment trusts (REITs). Your role is key in ensuring consistency of standards within the sector and collaborating with others to lead all aspects of the delivery of accurate and timely financials data while curating company and industry specific analysis.

In this role, you will be encouraged to drive the development of expertise in the financial services industry and REITs within the team and manage the corresponding data. You'll need to drive the development of financial knowledge and analytical thinking in your team to derive meaningful insights for our customers. Your team will transform sophisticated data and work processes into financial data products that are indispensable to our users. This position requires extensive collaboration with global colleagues, and partners across all business units including Business Managers, News, *** Intelligence, Sales & Analytics, our Data Governance team, and Engineering.

We'll trust you to:

Leverage a high-level understanding of financial services industry and company data, in order to locate, gather, and analyze financial services data in a proficient and timely manner, to provide information and analysis for clients. This includes staying current on relevant issues and trends within the financial services and REITs sectors.
Recruit, mentor, and develop a team of analysts who will be financial services specialists and experts in their product demonstrated through processing time-sensitive, high-quality data, data analysis, and project management. You will need to lead various projects that may include segment and product analysis, specialty finance and institutional finance data analysis. Additional projects will include real estate companies including owners and developers, services, and integration of alternative data sets into *** 's data and related economic analysis.
Empower your team to provide news and content on financial services trends, with technical analysis of timely data points such as interest rates, i *** ation, and other macro economic factors that impact the financial services industry, to assist our Product team and customers
Collaborate with global counterparts to evolve the role, workflow, and operating procedures to ensure consistency in data quality and timeliness across regions, as well as knowledge share in regional financial services and real estate sector nuances
Build processes and standards that make sure the delivery of data and the level of customer ser *** goes above and beyond
Work with other data and core business groups, such as Product, Sales, News and Engineering to help develop and improve product databases and functionality across the terminal
Apply your passion for deep learning of an industry to our team's overall vision, and leverage that knowledge to drive decisions about interoperability of data relevant to that industry
Lead and mentor team on large and sophisticated data projects and business initiatives related to the industries they cover
Set a strategy to recruit, retain, and develop top talent within your team and global counterparts

You'll need to have:

Demonstrated leadership experience within a previous or current role
Bachelor's degree in Finance, Accounting, Mathematics, Statistics, or Business, or in a related field of study
A deep understanding of the trends that drive the financial services OR REIT industries, be able to quantify the global i *** uences impacting the industry, and provide information that can aid commercial decisions.
A passion to learn the sectors within your team where you do not have as much exposure
Vision to align your team's goals around providing outstanding ser *** to Business and other internal/external clients, and the ability to implement a business and people strategy which delivers on that vision
Excellent communication skills, allowing you to clearly communicate business needs and to advocate on behalf of your team
Strong understanding of the wide-ranging impact of financial data
Well-honed listening skills, allowing you to draw understanding of your team and clients' needs
Proven ability to establish strong credibility and build i *** uential relationships with multiple internal and external clients and partners
Creative and flexible approach to problem solving, aided by strong data analysis skills
Passion for building deep sector and industry knowledge, and demonstrated interest in and familiarity with a specific sector

We'd love to see:

CFA designation (or working towards it)
Solid understanding of consumer modeling software
Familiarity with financial services and REITs analytics data and available industry statistics, as well as i *** uencers such as interest rates, i *** ation, corporate earnings, consumer spending, foot traffic data and geolocation data
Experience or knowledge in *** Company Financials Products, *** terminal fluency, and/or *** Global Data workflows
Experience or strong interest in financial modeling, including strong Excel and PowerPoint skills, SQL experience, Modeling and Coding experience
Experience working with industry data as part of your product coverage
Experience using data visualization tools such as QlikSense

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

5/2

Senior Data Analyst - Etl Pipelining

Princeton, NJ Details

Full Time

*** runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. We collect, analyze, process, and publish the data which is the backbone of the *** Terminal (and other client facing products) - the facts and figures which ultimately move the financial markets. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to improve our systems, products and processes - and all this while delivering sophisticated insights to our clients.

The Data Management Lab (DML) sits within Data, and supports its pursuit of data management excellence through aligning industry standard methodologies on data management principles with *** 's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use", through promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-ready.

Within the DML organization, the Data Frameworks and Enablement (DFE) team covers many aspects of a data management pipeline:

Ontologies and Taxonomies
Reference Datasets and Controlled Vocabularies
Data Linkage and Enrichment

The team focuses on enabling teams to nurture policies and standard methodologies that control, deliver, and improve the value of data.

What's the role?

As a Senior Data Analyst, you will be pivotal in expansion of our products, in both depth and coverage. The day to day will vary, some days you may be onboarding and profiling datasets while others may consist of microser *** development. Your work will touch a multitude of domains, such as data modeling, ETL, annotations, and more. The role requires working closely with a variety of internal collaborators, ranging from engineers to subject matter experts.

We'll trust you to:

Curate and profile internal and external datasets (> 50 GB)
Design and develop automated solutions via microservices for data standardization, ETL, enrichment and more
Design and develop tooling (libraries, CLIs, etc.) for validation, linting, and testing ontologies, taxonomies, and queries
Formalize semantic DevOps practices internal and external to team
Partner with a wide variety of collaborators including Engineering, Product and CTO on product development and execution
Mentor junior members of the group who are looking to develop technically

You'll need to have:

A BA/BS degree, or higher, in Computer Science, Mathematics, or relevant data technology field, or equivalent professional work experience
3+ years of Python programming and scripting in a production environment
3+ years of validated experience working with databases (SQL, NoSQL, graph, etc.)
Ability to work independently as well as in a team environment
The ability to communicate sophisticated topics with appropriate scope to varying audiences
Lead multiple customers, deadlines, and challenging priorities
Legal authorization to work full-time in the United States and will not require visa sponsorship now or in the future

We'd love to see:

Experience with semantic technologies, annotations, quality, business analytics or data modeling
Experience using a Scrum Agile process
Experience using data analysis and visualization tools such as Tableau or QlikSense
A Master's degree in one of the above fields of study
Experience mentoring and teaching data skills to others

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.

*** is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up].

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

4/27

Consumer Discretionary & Staples Data Team Leader

Princeton, NJ Details

Full Time

*** runs on data. In *** Data, we're responsible for on-boarding, analyzing, applying and supplying it to our clients for their financial data needs. Across Company Financials Data Teams, we move markets by providing our clients with sought-after reported-on and broker-estimated financials that are normalized across industries and companies, key analytical ratios, and industry-specific data points. More than 320,000 business leaders rely on the real time financial information available on the *** Professional Service. Our products run on intelligence and industry-specific insight provided by Data's Company Financials team. Our team of sector-aligned analysts i *** uence investment decisions and move the markets every day, and we are growing.

Leveraging innovative, collaborative, and client focused approaches to data extraction, aggregation, and standardization, Company Financials Data analysts use industry knowledge and company financial data subject matter expertise in order to create a comprehensive client experience across the product offering throughout the earnings cycle, including pre-earnings through guidance and consensus creation, at the time of earnings through the IPO process all the way to the quarterly reporting process from earnings to preliminary results to audited full financial results, providing performance and surprise analysis, for robust company and peer analysis.

Here's where our team's industry expertise comes into play. Whether we are sourcing market data from new or existing providers or processing complex financial data - our team's work will help ensure the consistency and quality of company portfolios at an industry level.

The Role:

The North America Company Financials Consumer Discretionary & Staples Team is looking for a Team Leader to manage and develop a high-performing team of consumer industry specialists, owning the data management and analysis for the sector, including consumer staples and consumer discretionary companies. Your role is key in ensuring consistency of standards within the sector and collaborating with others to oversee the delivery of accurate and timely financials data while curating company and industry specific analysis.
In this role, you will be expected to drive the development of expertise in the consumer discretionary and staples industry within the team and manage the corresponding data. You'll need to drive the development of financial knowledge and analytical thinking in your team to derive meaningful insights for our customers. Your team will transform complex data and work processes into financial data products that are indispensable to our users. This position requires extensive collaboration with global colleagues, and partners across all business units including Business Managers, News, *** Intelligence, Sales & Analytics, our Data Governance team, and Engineering.

We'll trust you to:

Leverage a high-level understanding of consumer discretionary and staples industry and company data, in order to locate, gather, and analyze consumer data in a proficient and timely manner, to provide information and analysis for clients. This includes staying current on relevant issues and trends within the consumer sector.
Recruit, coach, and develop a team of analysts who will be consumer industry specialists and experts in their product demonstrated through processing time-sensitive, high-quality data, data analysis, and project management. They will need to manage various projects that may include segment and product analysis, customer traffic data analysis, integration of alternative data sets into *** 's data, as well as related economic analysis.
Empower your team to provide news and content on consumer market developments, with technical analysis of market trends to assist our Product team and customers
Collaborate with global counterparts to evolve the role, workflow, and operating procedures to ensure consistency in data quality and timeliness across regions, as well as knowledge share in regional consumer sector nuances.
Create processes and standards that make sure the delivery of data and the level customer ser *** exceeds expectations
Work with other data and core business groups, such as Product, Sales, News and Engineering to help develop and enhance product databases and functionality across the terminal
Apply your passion for deep learning of an industry to our team's overall vision, and leverage that knowledge to drive decisions about interoperability of data relevant to that industry
Manage and mentor team on large and complex data projects and business initiatives related to the industries they cover
Set a strategy to recruit, retain, and develop top talent within your team and global counterparts

You'll need to have:

Proven leadership experience within a previous or current role
Bachelor's degree in Finance, Accounting, Mathematics, Statistics, or Business, or in a related field of study
An understanding of the mechanics of the consumer discretionary and consumer staples industry, be able to quantify the trends impacting the industry, and provide information that can aid commercial decisions.
Vision to align your team's goals around providing superior ser *** to Business and other internal/external clients, and the ability to execute a business and people strategy which delivers on that vision
Excellent communication skills, allowing you to clearly communicate business needs and to advocate on behalf of your team
Strong understanding of the wide-ranging impact of financial data
Well-honed listening skills, allowing you to draw understanding of your team and clients' needs
Proven ability to establish strong credibility and build i *** uential relationships with multiple internal and external clients and stakeholders
Creative and flexible approach to problem solving, aided by strong data analysis skills
Passion for building deep sector and industry knowledge, and demonstrated interest in and familiarity with a specific sector

We'd love to see:

CFA designation (or working towards it)
Working knowledge of consumer modeling software
Familiarity with consumer analytics data and available industry statistics from sources such as Bureau of Labor Statistics, US Census Bureau, and Second Measure
Experience or knowledge in *** Company Financials Products, *** terminal fluency, and/or *** Global Data workflows
Experience or strong interest in financial modeling, including strong Excel and PowerPoint skills, SQL experience, Modeling and Coding experience.
Experience working with industry data as part of your product coverage
Experience using data visualization tools such as QlikSense

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.

*** is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up].

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

4/21

Technical Writer

Princeton, NJ Details

Full Time

*** runs on data, and in the Data department we're responsible for acquiring and providing it to our clients. We collect, analyze, process, and publish the data which is the backbone of the *** Terminal (and other client facing products) - the facts and figures which ultimately move the financial markets. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to improve our systems, products and processes - and all this while delivering sophisticated insights to our clients.

The Data Management Lab (DML) sits within the Data organization, and supports Data's pursuit of data management excellence through aligning industry standard processes on data management principles with *** 's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use", through promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-ready.

What's the role?

As a Technical Writer, you will apply your detail-oriented and collaborative skills to deliver technical documents such as software specifications, user manuals, training materials, standard processes and more. You will be involved from discovery to maintenance in a variety of topics and mediums. The day to day will vary, some days you may be updating websites through mkdocs while others may consist of drafting user specifications for a new initiative. The role requires working closely with a variety of partners, ranging from engineers to domain experts. You will be pivotal in firm-wide adoption of innovative tooling and methodologies, as well as maturity of our practices.

We'll trust you to:

Author, edit, maintain, and proof new and existing documentation
Communicate sophisticated topics with appropriate scope to varying audiences
Manage multiple stakeholders, deadlines, and challenging priorities
Work together and effectively connect with Product, CTO, Engineering, and Data departments
Develop a detailed understanding of *** 's data management systems
Be a storyteller, capable of shifting *** ween a variety of writing styles: technical, academic, journalistic, and business
Organize information, promote accessibility, and learn about new technologies

You'll need to have:

3+ years of technical writing experience or related field
A Bachelor's degree in writing, communications, education or related discipline
Solid attention to detail and proven decision-making and problem-solving skills
Experience working with markdown, GitHub and mkdocs
Experience working with Microsoft Suite (e.g. Word, Excel, PowerPoint, etc.) and related Google editors (e.g. Docs, Sheets, Slides, Drive, etc.
2-3 samples of end-user documentation or training materials from a recent role or project

We'd love to see:

Experience in information technology, engineering, finance, data analysis or research
Experience in new and legacy large-scale systems with minimal documentation
Experience using a Scrum Agile process
Experience working with semantic technologies, annotations, quality, business intelligence or data modeling

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

3/31

Technical Project Manager, Enterprise Services - Bloomberg Financial Solutions

Princeton, NJ Details

Full Time

*** is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financial community. And, to ensure the best experience for our 20,000+ employees across 176 offices globally, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are.

The *** Financial Solutions department of 5,000+ employees is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with *** .

Our Team:

We are *** Enterprise Data - fast paced, innovative and expanding. We have worked hard and smart to become the $1bn business we are today. We partner closely with our clients, taking time to understand their unique businesses and individual data and technology needs. We provide a vast number of datasets that cover all asset classes, via multiple delivery technologies and flexible scheduling options. This means our clients get exactly the data they need, when they need it, in the format they prefer. Without us, they simply can't operate.

The role:

We're looking for a passionate, motivated service-orientated individual to come join our team. In this role you will be expected to design, deliver and manage ser *** improvement initiatives, drive collaboration and organizational effectiveness, program manage complex internal projects, design and build infrastructure utilities that are used by the Ser *** Delivery Teams and work with the individual teams to enhance the overall effectiveness of the organization.

The technical project manager (TPM) must be a leader with a vision for the given project, helping to persuade and motivate the team. The TPM needs to assemble the team and brainstorm with them throughout the various project phases.

The TPM meets regularly with stakeholders to manage their expectations, keep them updated and make sure the project aligns with their goals and objectives. This entails the creation of a project plan that organizes tasks, schedules work and allocates resources.

During the project, as the project team executes tasks, the TPM oversees their work to make sure their workload is balanced. That allows them to work more productively and not burn out due to a surplus of tasks.

Depending on the size of the project, the TPM is also responsible for collaborating with the various department heads in the organization as they relate to the project. Coordinating these various entities can be a steep hurdle to clear, but a TPM may also have work with outside vendors. Being able to build these relationships is key to running a successful project.

Responsibilities:

Develop and manage the project, communication, resource plans and processes.
Analyze all management and technical processes to ensure they are delivered as expected.
Meet regularly with project stakeholders and define project goals and objectives.
Lead budget and resource allocation through all project phases.
Schedule project timelines.
Make estimates for timelines/schedule.
Generate regular reports to update stakeholders and manage projects.
Establish and train teams on processes and strategies.
Oversee day-to-day technical operations, including assignments and personnel review.
Define roles and responsibilities of the team and determine clear deliverables.
Build and maintain relationships with key Enterprise clients as a point-of-contact.
Identify systemic issues and escalate appropriately by representing risks to the business.
Communicate effectively and in a timely manner across all organizational levels.
Continually look for ways to improve workflows and partner with our engineering teams to enhance operational tools.
Identify opportunities to implement and drive adoption of self-ser *** solutions to meet client needs.
Identify team and personal workflow efficiencies through tooling and process improvement.

You'll need to have:

Strong analytical skills to evaluate problems and provide solutions.
Excellent communicative skills, both verbal and written.
2+ years' experience in a customer facing position.
The ambition to take ownership and responsibility of issues and handle them effectively through to resolution.
"Very Strong" Excel and PowerPoint skills.
An analytical and problem-solving mindset.
A passion for customer service.
Strong multitasking skills and the ability to maintain a professional demeaner when handling complex and time sensitive issues.
A basic understanding of market data and associated financial instruments.
Ability to derive requirements from stakeholders via email, meetings, and conference calls.
Bachelor's degree in Information Systems/Technology or Finance.
Legal authorization to work full-time in the United States and will not require visa sponsorship now or in the future.

We'd love to see:

Ability to get up to speed quickly on *** 's Enterprise businesses, priorities, and organizational structure.
Strong collaborator who understands the complexity of entertaining multiple audiences and navigating their diverse interests and goals.
An ability to keep calm and work quickly amidst a crisis.
Ability to i *** uence.
Ability to operate with urgency and do eleven things at once - and do them well.
High degree of professionalism, flexibility and customer-focus.

What's it like to work here?

We work hard. We are ambitious and set ourselves tough business goals. We are a meritocracy where everyone has a voice - not a job title. Working with people you trust, respect, and can collaborate with is more important than titles or position. Things move fast, and we want people who will enjoy working in this environment and feed off the energy. But it isn't all about work. Giving back is one of our core values, and there are many ways to get involved in philanthropic initiatives from helping local school kids with their reading to helping clean up local parks and waterways.

What is *** ?: ***
View our Benefits: ***

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know that the next steps are.

*** is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

3/28

Company Financials Consumer Discretionary & Staples Manager

Princeton, NJ Details

Full Time

*** runs on data. In *** Data, we're responsible for on-boarding, analyzing, applying and supplying it to our clients for their financial data needs. Across Company Financials Data Teams, we move markets by providing our clients with sought-after reported-on and broker-estimated financials that are normalized across industries and companies, key analytical ratios, and industry-specific data points. More than 320,000 business leaders rely on the real time financial information available on the *** Professional Service. Our products run on intelligence and industry-specific insight provided by Data's Company Financials team. Our team of sector-aligned analysts i *** uence investment decisions and move the markets every day, and we are growing.

Using innovative, collaborative, and client focused approaches to data extraction, aggregation, and standardization, Company Financials Data analysts use industry knowledge and company financial data subject matter expertise in order to build a comprehensive client experience across the product offering throughout the earnings cycle, including pre-earnings through guidance and consensus creation, at the time of earnings through the IPO process all the way to the quarterly reporting process from earnings to preliminary results to audited full financial results, providing performance and surprise analysis, for robust company and peer analysis.
Here's where our team's industry expertise comes into play. Whether we are sourcing market data from new or existing providers or processing sophisticated financial data - our team's work will help ensure the consistency and quality of company portfolios at an industry level.

The Role:

The Company Financials group has an exciting opportunity for a global Manager to lead the Consumer Discretionary & Staples Team including Luxury, Retail and Leisure across our teams in Princeton, London, and multiple Asia Pacific offices. Your team will own the data management and analysis for the sector, including consumer staples and consumer discretionary companies, managing quality and timely delivery of content, while also growing our data offering by identifying and on-boarding complementary data sets. You and your team will be expected to drive the data strategy for your industry to provide *** clients with data-driven insights and solutions. In this role, you will be expected to partner across multiple business units within *** along with engaging with our clients to get results.

We'll trust you to:

Build and lead global teams with multiple Team Leaders and senior-level individual contributors reporting directly to you
Recruit, mentor, and develop a team of analysts who are Consumer industry specialists and experts in their product demonstrated through managing time-sensitive, high-quality data, financial modeling, content curation, and generating new client solutions
Collaborate with global counterparts and leadership to evolve the role, workflow, and operating procedures to ensure consistency in data quality and timeliness across regions
Collaborate extensively with internal partners (primarily Data Company Financials, Core Product, *** Intelligence, *** News, Financial Products, *** Second Measure, and Engineering) to drive adoption and integration amongst our clients
Bring deep expertise of the Consumer sector (and datasets) to drive *** 's data strategy, expand our industry ontologies, and establish sector-specific OKRs to build market-leading offerings
Have meaningful client interactions to build trust, understand their needs, and drive overall product strategy
Stay up to date on industry trends and latest developments in the financial market along with a deep understanding of our clients' workflows
Build an inclusive team culture

You'll need to have:

6+ years of experience in management; successfully leading diverse teams
A deep understanding of the mechanics of the consumer discretionary and/or consumer staples industry, be able to quantify the trends impacting the industry, and provide information that can aid commercial decisions
Demonstrated experience leading product development and/or sales experience focused on bringing powerful Consumer data solutions to clients in financial services
Deep knowledge of investor and corporate strategy workflows, such as financial statement analysis, screening, and building industry data models
Understanding of the financial and Consumer data marketplace and product offerings across the globe
Proven ability to establish strong credibility and build i *** uential relationships with multiple internal and external clients and partners
Solid grasp of data management principles and technologies such as data modeling, data analysis skills to tell a narrative and/or make data-driven insights
Excellent communication skills, allowing you to clearly communicate business and client needs, and to advocate on behalf of your team
Vision to align your team's goals around providing outstanding ser *** to *** 's clients and other internal partners, and the ability to implement with a strategy that supports the business while motivating your team

We'd love to see:

Experience or knowledge in *** Company Financials Products, *** terminal proficiency, and/or *** Data workflows
Experience in SQL, Python, data modeling and other data analysis tools
Experience using data visualization tools, such as QlikSense.
Continuous education in related areas such as Finance or STEM field, such as a Master's Degree, professional qualification, or decade of experience in related fields

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

3/28

Business Intelligence Team Leader

Princeton, NJ Details

Full Time

At *** , our products are driven by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we're responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately.

The Data Management Lab (DML) sits within the Data organization, and supports Data's pursuit of data management excellence through aligning industry best practices with *** 's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use", through promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.

The Business Intelligence team sits within DML, and supports DML's vision by providing our partners with business insights and analytical capabilities, to understand both the work that goes into crafting their products, as well as appraise the quality of their products as experienced by our clients.

As the leader of the Business Intelligence team, you'll be responsible for managing your team in delivering business intelligence data and analytical capabilities to teams in Data, in order for them to continuously improve their product offering on the back of data driven decisions. As Data becomes more outcome oriented, having a clear view into product health and the operational levers that inspire change in outcome quality becomes increasingly meaningful. This Business Intelligence group is in the critical path for delivering comprehensive scalable business analytics for our Data department at *** .

We'll trust you to:

Invest in, and develop team members' abilities to establish a deep domain expertise in their respective area of specialization, while promoting a culture of cross team collaboration and shared accountability with a common goal
Nurture interpersonal adoption of data driven decision making on the back of both product and operational metrics, through strategic engagement and training opportunities across Data
Continually refine strategy and execution plan in how we deliver the most impactful descriptive, diagnostic and prescriptive analytics to colleagues in Data, ensuring our BI product offering is fit-for-purpose across all collaborators
Collaborate closely with global DML counterparts, in particular Data Quality and Process Engineering, to ensure aligned consistency in approach, delivery and contribution to shared resources
Establish close partnership with Engineering counterparts on priorities and direction of infrastructure needs to support our long term vision

You'll need to have:

Formal people leadership experience, or strong informal experience from leading larger projects with multiple counterparts, mentoring colleagues, etc
Strong professional experience within the Business Intelligence domain, with hands-on experience in performing data analysis for data driven decision making, using common business intelligence or analytics applications (such as QlikSense or Tableau), with applied experience in statistical analysis supporting such decision making is a plus
Sound understanding of data quality as a sub-domain of data management (DAMA CDMP, DCAM certification a plus)
Ability to lead multiple projects in parallel, with proven project management and time leadership skills
A creative and flexible approach to problem-solving, coupled with an experimental posture, to challenge past assumptions and promote new ways of thinking
Results oriented, with experience in aligning team and individual level goals to the broader vision of the organization
Ability to establish strong credibility to build i *** uential relationships with multiple internal and external clients and customers
Up-to-date knowledge of financial markets, and how *** products deliver value to our clients
Excellent written and verbal communication skills, allowing you to accurately communicate business needs and requirements and to advocate on behalf of your team

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

3/18

Etl Data Analyst - Third Party Indices Automation

Princeton, NJ Details

Full Time

*** runs on data, and as part of the Data team, we're responsible for acquiring it, providing it to our clients and helping derive significant insights out of it. We collect, analyze, process, and publish the data, which is the backbone of our iconic *** Terminal and our enterprise products - the facts and figures which ultimately move the financial markets. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to improve our systems, products, and processes - and all this while providing platinum customer support to clients.

The Third Party Index Data team supports *** 's suite of Indices to fulfill our clients' needs. We process over 15,000 files per day and as such need to have highly efficient data pipelines and quality processes to support the timely execution and publishing of that data for our clients.

What's the role?

The Third Party Automation Team is a dynamic group of individuals who tackle the more challenging technical aspects of our data product including data pipelining and sophisticated data analysis. Our Data Analysts possess a unique combination of technical skills and eye for business, as well as good communication and interpersonal skills. As such, we are looking for a highly motivated individual with a passion for data and the technology that surrounds it.
As a Data Analyst you will apply your problem-solving skills to handle the data pipelines, automation processes and human-in-the-loop workflows that feed our Third Party Indices Data Products. In addition to the data pipelining work, you will analyze our data from an operational as well as product standpoint. This might be by building the associated ETLs and Data Visualizations to report on our most important Operational Metrics or by building prototype applications in BQNT with our product teams. You will be expected to lead projects, collaborate with Engineering and Product and mentor junior members of the group who are looking to develop technically.

We'll trust you to:

Develop and support the data pipelines and processes that feed our *** Index Database
Find opportunities and build automated solutions for data standardization, ETL pipelines, and human-in-the-loop data processing
Design, develop, and deploy data quality validations written in Python to drive quality improvements and standards across the team, improving areas such as accuracy, completeness, consistency, reliability and more
Draw on your knowledge of scripting and programming to scale and standardize pipelining across our team and the department, always identifying improvements to current workflows
Use statistics and data visualization to report on results of ongoing operations and projects, as required
Leverage data analysis skills to find opportunities to optimize our operations or create prototypes to advance the third-party index data product
Partner with a wide variety of collaborators including Engineering, Product and Sales on product development and execution

You'll need to have:

A BA/BS degree or higher in Computer Science, Mathematics, or relevant data technology field, or equivalent professional work experience
2+ years of Python programming and scripting in a production environment
2+ years of experience working with databases either SQL or NoSQL
Understanding of large-scale, distributed systems
Strong aptitude for problem solving, particularly to modify and enhance processes and workflows
Excellent written and verbal communication skills, especially when explaining technical processes and solutions to business stakeholders and management
High attention to detail and degree of demonstrated decision-making and problem-solving skills
Ability to work independently as well as in a team environment
Ability to i *** uence others and lead change
Experience training and mentoring others
Legal authorization to work full-time in the United States and not require visa sponsorship now or in the future

We'd love to see:

Financial Market experience including an understanding of how benchmarks are used by our clients
Agile/Scrum Project Management experience
Experience using data analysis and visualization tools such as Tableau or QlikSense

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.

*** is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up].

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

3/16

Equity Corporate Actions Data Team Leader

Princeton, NJ Details

Full Time

*** runs on data. In Data, we're responsible for onboarding, analyzing, applying and supplying it to our clients for their financial data needs. In the Equity Corporate Actions team, we move markets by providing our clients with timely and accurate information on all corporate actions that make up the life cycle of a company such as equity offerings, listings, stock splits, and dividend payments just to name a few.

Here's where your team's industry expertise comes into play. Whether you are sourcing market data from new or existing providers or processing complex financial data - your team's work will help ensure the consistency and quality of company portfolios at an industry level.

The Role:

The Equity Corporate Actions Data team is looking for a Team Leader to manage and develop a hard-working team of Corporate Actions analysts. Your role is key in ensuring consistency of standards and collaborating with others to oversee the delivery of accurate and timely financial data while continually seeking new ways to operate more efficiently.
In this role, you will be expected to drive the development of Data products and process re-engineering by applying technology, resource management, and business planning. This position requires extensive collaboration with global colleagues across all business units including Business Managers, News, *** Intelligence, Sales & Analytics, and Engineering.

We'll trust you to:

Recruit, coach, and develop a team of Corporate Actions analysts who will be industry experts in their product demonstrated through processing time-sensitive, high-quality financial data, data analysis, and project management
Set strategy and manage the product's technology development roadmap
Collaborate with global counterparts to evolve the role, workflow, and operating procedures to ensure consistency in data quality and timeliness across regions
Create processes and standards that make sure the delivery of data and the level customer ser *** goes above and beyond
Work with other data and core business groups, such as Product, Sales, News and Engineering to help develop and enhance product databases and functionality across the terminal
Manage and mentor team on large and complex data projects and business initiatives
Set a strategy to recruit, retain, and develop top talent within your team and global counterparts

You'll need to have:

Proven leadership experience within your previous or current role
Vision to align your team's goals around providing superior ser *** to Business and other internal/external clients, and the ability to implement a business and people strategy which delivers on that vision
Excellent communication skills, allowing you to clearly communicate business needs and to advocate on behalf of your team
Strong understanding of the multifaceted impact of financial data
Well-honed listening skills, allowing you to draw understanding of your team and clients' needs
Proven ability to establish strong credibility and build i *** uential relationships with multiple internal and external clients and partners
Creative and flexible approach to problem solving, aided by strong data analysis skills
Expert-level knowledge of data processing paradigms and associated tools and technologies
Track record of driving strategies, managing complex projects, and leadership ability in change management or i *** uencing others

Does this sound like you?

Apply if you think we're a good match! We'll get in touch to let you know what the next steps are.

*** is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up].

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

3/7

Dividend Forecasting Research Analyst

Princeton, NJ Details

Full Time

At *** , our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Global Data, we're responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately.

More than 320,000 business leaders rely on the real time financial information available on the *** Professional Service. Our products run on intelligence and industry-specific insight provided by Global Data's Dividend Forecasting team. Our team of Analysts insights and research move the markets every day, and we are growing. That's where you come in.

As an ETF and Equity Dividend Forecasting Research Analyst, your actions will produce powerful results. You will need to have the context - meaning that having passion for and an understanding of the markets is a must. With this foundation, you'll develop expertise in key global industries and manage the corresponding data. You'll learn to leverage your financial knowledge and analytical thinking to derive meaningful insights for our customers. You'll transform complex data and work processes into products that are indispensable to our users. That's our purpose- come find yours!

We'll trust you to:

Function as a subject-matter-expert internally and externally - producing, reviewing, and updating dividend forecasts for your assigned portfolio of securities
Monitor and interpret major company and ETF developments and identify themes or trends affecting key market sectors
Conduct comprehensive, bottom-up analysis of companies to develop dividend forecasts
Establish and maintain relationships with internal departments throughout *** as well as external clients
Support Sales and represent *** with clients at industry events in a SME capacity to promote our data, products, and services
Build relationships in the market and across the business (Product, Sales, Engineering) to understand the latest trends and developments, using them to improve our product offerings
Lead internal projects to optimize processes and/or improve the quality of our data products
Provide customer support for users of *** products such as the Professional Service, News, and Enterprise Solutions, by resolving inquiries in a timely manner
Use your knowledge and expertise to generate thought leadership content via news stories, research reports, and webinars

You'll need to have:

Legal authorization to work full-time in the United States and not require visa sponsorship now or in the future
A Bachelor's degree in Business, Finance, Accounting, Computer Science, Economics, or equivalent work experience
1 to 3 years of work experience in equity analysis or financial market research
A sound understanding of Fundamental Analysis: financial statements & ratios and company valuation metrics & models
Knowledge of and/or curiosity about derivatives
Excellent verbal and written communication skills
Diligent research and analysis skills along with a logic-driven approach to problem solving
Ability to adapt within a dynamic environment, and desire to work on multidisciplinary teams
Desire to improve and further develop our products
Ability to meet deadlines and logically approach problems
Effective project management skills and ability to prioritize tasks accordingly

We'd love to see:

Master's degree in Business, Finance, Accounting, MBA, or related discipline
Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) designation
Previous work experience with the *** Terminal, or *** Market Concepts (BMC) certification
Experience/specialty in a particular sector

Does this sound like you?

Apply if you think we're a good match. We will be in touch to let you know what the next steps are.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

2/17

Physical Assets Data Product Manger

Princeton, NJ Details

Full Time

*** runs on data, and the *** Data team is responsible for supplying it. We collect, analyze, process, and publish the data that is the backbone of our iconic *** Terminal- the facts and figures which ultimately move the financial markets.

The physical location, nature, and characteristics of company assets can help investors to understand risks to a company arising from its geography, such as climate and geopolitical risks, as well as find opportunities in the market. Physical asset data related to a company is important for our clients - providing deeper intelligence on top of conventional financial and climate as reported data to help with valuations of a company, understanding where a physical asset sits within a supply chain, company reliance on a physical location or supply of physical raw materials. At *** , physical assets data is displayed alongside fundamental data, backed by news for context, and used to power a growing suite of sustainable finance products.

The Role:

As the Physical Assets Data Product Manager, you will use your market knowledge and experience to deliver a data strategy and roadmap for the future of the physical assets data offering and achieve consensus from all partners. You will use this roadmap to continuously deliver on milestones and revise as needed with evolving market and client needs, to deliver the maximum business value. You will engage with clients to understand their business needs and partner with Data, Product and Engineering teams to create a comprehensive vision and data model. You will define the data strategy and roadmap, analyze data gaps and opportunities, profile data content, and translate business needs into requirements for a data model.

We'll trust you to:

Collaborate extensively with internal customers to understand business and client needs across Terminal and Enterprise Product, *** New Energy Finance, *** Intelligence, Engineering and Data teams focused on climate initiatives
Develop and drive a strategic vision for *** 's physical asset data offering to find opportunities to expand depth and breadth of coverage
Ensure data is fit for purpose for our customer's needs and incorporate standard methodologies into workflows to ensure high quality
Coordinate across teams to build a well thought out data architecture and model with a focus on interoperability
Set requirements to ensure data governance and standardization across datasets
Continuously deliver incremental value while adjusting roadmap, as needed, through an Agile approach

You'll need to have:

Deep domain expertise and understanding of physical asset data and how financial market players could use physical asset level data to mitigate portfolio risk and fulfill potential regulatory requirements
Mastery in analyzing and prioritizing data considering how client's need to interact with our data, enterprise-wide product needs, and engineering objectives
Experience with communicating and coordinating with internal and external groups to define project scope and meet project deliverables across the implementation process
Customer-focused approach and ability to interact with a diverse range of client types
Technical proficiency in being comfortable discussing technical concepts and experience evaluating trade-offs in design with Engineering
Strong attention to detail and high degree of proven decision-making and problem-solving skills
Outstanding relationship building skills - both written and verbal
Ability to work in a fast-paced, evolving environment

We'd love to see:

Previous 2+ years' experience working with large, sophisticated data models
Extensive product manager experience bringing sophisticated products to market
Proficiency in Python or SQL
Familiarity working with geospatial data
Exposure to *** products such as the Professional Service
Experience using a Scrum Agile process

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

2/10

Senior Software Engineer

Princeton, NJ Details

Full Time

Our Team:

The Enterprise Data Warehouse and Business Intelligence team is looking for a proven senior engineer to join its team! Our fast-growing, diverse team of engineers is responsible for building scalable ingestion systems which handle and prepare petabytes of data for reporting, das *** ards, and advanced analytics. *** runs on data. Our data captures the who, what, when, where and why of how our clients use *** products and our Product teams rely on those insights to drive adoption and usage.

What's In It For You:

Join a fast-paced team of dedicated engineers who are committed to building automated, reliable, performance-oriented systems
Shape the strategic and technological direction of the team
Empower your career growth through exposure to new technologies and processes

You will work closely with the Management Analysis team to build solutions to help drive product usage and find new sales opportunities
You will collaborate with cross functional teams and vendors to enhance and ingest data from internal and external sources
You will identify opportunities to simplify and automate workflows
You will translate business requirements into robust and scalable data pipelines for key business metrics
You will use technologies such as Hadoop, Spark, Hive, Kafka and more
You will be working with structured and unstructured datasets

You will need to have:

5+ years of experience with DBMS, RDBMS and ETL methodologies.
Experience building automated, scalable architectures in an enterprise setting
Advanced SQL capabilities are required. Knowledge of database design and experience working with extremely large data volumes is a plus.
Programming experience in Python. PySpark and Scala is a plus.
Strong understanding of data warehousing methodologies, ETL processing and dimensional data modeling.
Strong problem-solving skills and trouble-shooting skills
Knowledge of Airflow and Argo is a plus
A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience

Nice to Have:

Familiarity with Hadoop ecosystem (HDFS, Spark)
Specific expertise in implementing Informatica solutions is a plus.
Knowledge of MPP systems
Knowledge of streaming technologies like Kafka
Knowledge of business intelligence reporting tools such as QlikSense, Tableau, Power BI, Cognos
Experience working in a UNIX or Linux development environment

*** is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up]

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

1/25

Litigation Content Data Specialist

Princeton, NJ Details

Full Time

The Data Industry Group is dependent upon our analysts to continue building excellent products using an outstanding combination of business insight, domain knowledge, technical expertise and an entrepreneurial spirit. The GD Industry Group provides a variety of opportunities for professionals in the legal field to embark on a groundbreaking career combining their legal knowledge world-class technology and motivated colleagues.

The Litigation Content team manages our caselaw and dockets collections, as well as other traditional litigation content across the *** INDG platforms. In this position you will gain an understanding of the applications and processes related to assigned data sets across a variety of product areas for the team, and the ability to assist in creating and implementing quality management procedures. We need creative and technically proficient individuals who are able to solve problems on a large scale while still maintaining attention to detail so that they will thrive on our team. Ideal candidates will have a mixture of technical data analysis skills and exposure to the legal space.

What's in it for you:

You will contribute to developing and maintaining the BLAW platform
You also will be responsible for assisting in the development and maintenance of *** 's Litigation Content products. Primary duties will include the monitoring and troubleshooting of current means of collection in order to ensure timeliness and comprehensiveness of the content sets
You'll benefit from *** 's dynamic and collaborative environment and contribute to creating new technology-driven solutions for legal professionals
We'll invest in you, and coupled with our individualized approach to career development, we will help you expand your skills and opportunities

We'll trust you to:

Showcase attention to detail and exceptional organizational skills
Collaborate with Product, Engineering, and other Data teams to understand organizational and product needs
Identify practical solutions to standardize and adopt data quality best practices and develop processes to scale impact
Perform data analysis to drive decision making
Continue learning about industry trends, standards, and innovation within the Data Quality domain
You'll need to have:

Bachelor Degree or equivalent work experience
Prior experience with data analysis and ability to showcase advanced Excel skills
Prior legal experience - familiarity and understanding of court dockets and opinions is a plus
Experience with process reengineering, or with improving/enhancing an existing process
Demonstrated intellectual curiosity with a willingness to challenge oneself and peers to drive innovation of thought
Legal authorization to work full-time in the United States and will not require visa sponsorship now or in the future

We'd love to see:

Prior experience working with electronic court records and document filing systems
Effective communication and organizational skills, both written and verbal
Experience or exposure to xml, javascript, and/or python

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.

*** is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up].

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

12/28

Senior Web Engineer - Data Technologies Engineering

Princeton, NJ Details

Full Time

*** Data Technologies Engineering is seeking a strong Software Engineer that has a passion for full stack web application development, strong design/implementation skills, and experience integrating multiple external and internal systems.

*** Data Technologies is responsible for the acquisition, enrichment, and distribution of data and news throughout the firm and the *** Terminal. We have hundreds of thousands of internal and external users across the globe who are actively using our applications to analyze and process information that is critical to our clients in making key investment decisions. Key aspects of our business include developing web sites and web applications to facilitate our data pipeline. Our team develops applications for both internal and external clients. Internally, our tools help support AI and machine learning related projects, as well as a wide variety of mission critical data workflows. Some of the externally facing sites we have developed include openfigi.com which supports the Financial Instrument Global Identifier, gigwork.net - *** 's open-source crowdsourcing platform, lei. *** .com for distributing Legal Entity Identifiers, and up. *** .com - *** 's generic data upload portal for third party providers.

We'll trust you to:

Design, implement and own critical applications and components of our platform.
Participate in the full SDLC of various components and systems that are required to be robust and scalable.
Get to know engineering and data teams across *** , understand their application requirements and data access patterns.
Understand the needs of our clients, and come up with an efficient and innovative approach to translate them to features and enhancements to the platform.
Bring the latest and greatest innovation and technology stack features from the open source community to our products.

You'll need to have:

4+ years experience building comprehensive, scalable, and extensible client-side apps with JavaScript (ES2015+)/TypeScript, Front End Development frameworks/tools, such as React, Angular, Vue, Webpack, Babel, Twitter Bootstrap, etc.
4+ years experience working with Python, including server application, frameworks, and CLI tools.
An understanding of Computer Science fundamentals such as data structures and algorithms
Functional expertise building microservices
Prior contributions to system design and architecture and scaling fault-tolerant, distributed systems
Honest approach to problem-solving, and ability to collaborate with peers, partners and management-A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience

Nice to have (you will have opportunity to learn):

Experience in enhancing Web application performance and user experience.
Experience working with Cloud Computing platforms e.g. AWS.
Experience with Agile software development methodologies.
Hands-on experience working with containers e.g. Kubernetes and Docker.
Knowledge of machine learning and data science technologies.

*** is committed to diversity. It drives our innovation. At *** , you'll have the opportunity to go above and beyond and to take risks. You'll be a part of an organization that is entering new markets, launching new ventures, and pushing boundaries. Our ever-expanding array of technology, data, news, and *** services champions innovation and empowers clients -- and offers nearly limitless opportunities for career growth.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We bring out the best in each other.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

12/28

Senior Web Engineer - Data Technologies Engineering

Princeton, NJ Details

Full Time

*** delivers billions of data points to our customers each day and our clients heavily rely on comprehensive financial information including real-time market data to identify trends and gain data transparency so they can analyze the value of a potential investment, partnership, or acquisition target. In order to make this analysis possible for our clients, the Data Technologies Engineering department is responsible for designing and building large-scale sophisticated infrastructure and data processing pipelines to acquire financial reference information and pricing data from sources around the world (regulatory agencies, exchanges, central banks, buy-side and sell-side firms, websites, news, feeds, etc).

The data processed through our systems is the lifeblood of the *** Terminal as well as Enterprise solutions across all the major asset classes including Equity, Fixed Income, Mutual Funds/ETFs, Mortgages, Portfolios/Holdings, and Indices. In addition to these major asset classes, we provide news, biographical, and company management information for the major players in the financial markets.

Due to the nature and sensitivity of our data to the market, performance, reliability and quality are key features of our systems. We apply state-of-the-art techniques (including Machine Learning (ML), Natural Language Processing (NLP), and Heuristic algorithms) to extract, standardize, enrich, and publish billions of data points that fuel *** products. Our services leverage big data technologies such as HBase, Hive, MySQL Vitess, and Spark as well as a scalable Kubernetes-based microser *** platform and a bi-temporal Point In Time (PIT) database solution.

We are a technologically diverse group solving a number of challenging problems using innovative techniques. We are proud of our intellectual curiosity and the quality of our product. We share a passion for solving real life problems and provide pragmatic solutions by rolling up our sleeves and collaborating seamlessly, within and across teams, to provide our clients with accurate, timely data to make critical investing decisions.

What you will do:

As a member of our department, you will have the opportunity to research, design and develop high quality, low latency, distributed, and scalable self-ser *** platforms and mission-critical applications that provide financial data delivery to our customers around the globe. This includes developing innovative solutions to provide automation as well as manual processing utilizing a variety of proprietary and open source technologies on microservices-based architecture with generic and extensible data models stored in big data platforms. You will work closely with Business, Data, and other Engineering teams globally in a hybrid environment on all phases of software development using Agile methodologies. You will take full ownership of products and collaborate with team members and stakeholders to shape the team's direction, culture, and vision.

You'll need to have:

4+ years working with an object-oriented programming language (C/C++, Python, Java, etc.)
A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
An understanding of Computer Science fundamentals such as data structures and algorithms
Experience building gPRC/GraphQL/REST services
Functional expertise building microservices
Prior contributions to system design and architecture and scaling fault-tolerant, distributed systems
Honest approach to problem-solving, and ability to collaborate with peers, partners and management

Nice to have (you will have opportunity to learn):

Experience working with Microser *** architectures and methodologies such as Twelve-factor and Lambda
Familiarity with Transport and Application layer protocols
Familiarity with Big Data, SQL and NoSQL Databases, and Cloud-Based Object Stores
Familiarity with queuing and caching technologies
Experience with Data Science and Machine Learning techniques to help with automation

*** is an equal opportunities employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

11/2

Localization Specialist - Italian

Princeton, NJ Details

Full Time

*** runs on data and technology. In our Global Data department, we're responsible for on-boarding, analyzing, applying, and supplying it so our clients can make informed decisions from a global perspective. We then take this perspective and bring data solutions to local markets. We solve for the problems of tomorrow.

What's the role?

You will be joining our Localization team that supports *** 's products for the Italian speaking market. As part of our global Localization team, you will be responsible for providing high quality Italian translations such as software localization, marketing materials, company information and financial content, and QA of analytical tools to our local clients. You will work closely with other Localization Specialists, Sales and Product teams, Data Analysts, and Software Developers to adapt our product for the local market. Join our growing global Localization team that supports *** sales efforts by providing products for the Italian speaking market.

You'll need to have:

Native level fluency in Italian, with excellent verbal and written communication skills in both English and Italian, including familiarity with local culture and customs, and financial markets
Translation experience from English to Italian
Bachelor's Degree with a focus on Linguistics, Translation, and Language Localization, and excellent interpersonal skills to facilitate effective communication across teams
Motivated and dedicated work ethic; you'll work as part of a team and independently, work with minimal supervision and to deliver quality results under tight deadlines
Excellent prioritization and organization skills with the ability to lead projects, balance independent tasks / goals while contributing to team goals and collaborating with other team members
Strong knowledge of Localization processes and familiarity with CAT tools and terminology management
Project management experience
Legal authorization to work full-time in the United States and will not require visa sponsorship

We'd love to see:

Ability to effectively adapt to changing tools, technologies and work flows, and to actively contribute to improve processes for localization
Ability to collaborate with management in the development of product documentation and guidelines

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.

*** is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. *** is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up].

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

11/1

Litigation Data Quality Analyst

Princeton, NJ Details

Full Time

Data Industry Group is dependent upon our analysts to continue building excellent products using an outstanding combination of business insight, domain knowledge, and an entrepreneurial spirit. Industry Group provides a variety of opportunities for professionals in the legal field to embark on a groundbreaking career combining their legal knowledge with world-class technology and motivated colleagues.

The Role:

The Litigation Content team manages our caselaw and dockets collections, as well as other traditional litigation content across the *** INDG platforms. The team is seeking a passionate individual to ensure our data is fit-for-purpose and exceeds the high quality standards our clients expect.

We'll trust you to:

Develop and implement a quality assurance strategy for achieving best in class data quality
Showcase attention to detail and exceptional organizational skills
Collaborate with Product, Engineering, and other Data teams to understand organizational and product needs
Identify practical solutions to standardize and adopt data quality best practices and develop processes to scale impact
Perform data analysis to drive decision making
Continue learning about industry trends, standards, and innovation within the Data Quality domain

What's in it for you:

You'll benefit from *** 's dynamic and collaborative environment and contribute to creating new technology-driven solutions for legal professionals
We'll invest in you, and coupled with our individualized approach to career development, we will help you expand your skills and opportunitiesYou will need to have:
A Bachelor's Degree, preferably in political science, legal studies, or a related field, or equivalent work experience
Strong analytical and problem solving skills
Self-starter attitude and the ability to work with a high-degree of autonomy
Project Management skills: ideation, prioritization, communication, and delivery
Ability to work legally in the US without visa sponsorship now or in the future

We would love to see:

Prior legal experience, including familiarity with and understanding of court dockets
Experience in Data Management and/or Data Quality
Knowledge of best practices in data quality
Analytical and das *** arding skills
Proficiency in data modeling
Proficiency in Python and SQL a plus

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.

*** is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. *** is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up].

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

10/28

Data Solutions Analyst

Princeton, NJ Details

Full Time

The *** Industry Group (INDG) division of Global Data supports outstanding tools, search, and analytics for products in the areas of Law, Government and Tax. INDG is changing the legal industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers. INDG provides users with fast access to legal content and analysis, practice tools, company information and market intelligence through advanced search & analytic capabilities. We are committed to changing the way professionals conduct their day to day tasks by automating research and providing analytical solutions to help them get real-time answers and *** ter serve their clients. We extract knowledge from hundreds of millions of legal documents and build intelligent models to enable our customers to get the right answers quickly!

The INDG Data Solutions team is responsible for using and developing groundbreaking technologies to improve our acquisition, data processing workflows and automation models. The team supports Global Data INDG as well as their business partners by providing infrastructure, applications, solutions and services to ensure comprehensive and intelligent data. The team leverages internal and open source tools to build ETL processes and reusable components that facilitate faster future builds and help deliver semantically-rich content to client facing applications and consumers. Their goal is to innovate, redefine and streamline acquisition and data processing workflows, drive value through, intricate data modeling and enrichment, and reduce cost through automation.

You have an ability to think out-of-the box, are self-organized, and a good communicator. You like to take ownership of your work and make it your own. You also have an ability to experiment quickly and know when to switch approaches and creatively think of an alternate solution.

We'll trust you to:

Have professional programming experience with Python, JavaScript, XML, XSLT
Design, develop, and implement internal tools for data processing that power *** Industry Group's product offerings
Identify and build automated solutions for the acquisition and processing of data that would otherwise require manual effort
Architect end-to-end data workflows, spanning from collection to publication
Gather requirements, develop project plans, monitor progress, and connect with technical and non-technical stakeholders throughout the development life cycle
Collaborate with other data analysts and engineering teams to design creative solutions to the technical challenges facing our businesses
Take ownership of building and maintaining data conversion programs for Global Data Industry Group. You will work in conjunction with Content Teams and Engineering
You'll need to have:
2+ years of professional experience with data manipulation and implementation of technical solutions
Strong organizational skills, written & verbal communication skills, and analytical skills
Experience with Javascript or Python
Legal authorization to work in the US without visa sponsorship now and in the future
Excellent communication skills, especially when explaining technical processes and solutions to business stakeholders and management

We'd love to see:

Working experience with GitHub
2+ years of experience with ETL on unstructured, document based data
Project management skills: ideation, prioritization, communication, delivery
Experience with Agile Methodologies
Experience working in a large organization. We look after messy data from disparate sources and legacy systems with limited documentation
Experience with legal, tax, or government data
Experience with mark-up languages (XSLT, XML, SGML and/or HTML) and XPath

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.

*** is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. *** is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up].

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

10/19

Fixed Income Data Specialist

Princeton, NJ Details

Full Time

*** runs on data and data drives the market. In our Data department, we are responsible for on-boarding, analyzing, applying, and supplying it so our clients can make informed decisions from a global perspective.

The team, in Data, is responsible for the data management of +900K active securities, covering over 30,000 unique issuers across the 50 states, including U.S. territories and commonwealths. As a result, the group manages relationships with market participants to directly source unique, valuable content while using technology to acquire and process publicly available information. Overall, this aggregated, cleansed, and normalized data fuels Municipal functionality and enterprise products, enabling our clients to follow new deals coming to market and perform portfolio analysis.

The Role:
*** Data is looking for a highly motivated and driven individual to develop and expand the scope of *** 's Municipal Product. You will be part of a fast-paced environment and will be responsible for the lifecycle of a Municipal security. Analysts within the team are in constant communication with market participants who are bringing new deals to market. You will play a key role in producing financial content, calculations, research notes and analyses for our clients using the *** Terminal, while also inspiring news content that empowers our clients to make the right decisions. Demonstrating a commitment to learning and a passion for the Fixed Income industry is required.

We'll trust you to:

Build positive and accountable relationships with clients, colleagues, and partners of the Fixed Income product (including buy- and sell-side firms)
Obtain an understanding of the workflows designed to deliver class-leading quality while meeting or exceeding the timeliness demands of the market
Collaborate with colleagues to implement solutions and frameworks to enhance our processes, software, and data offerings
Maintain the existing proprietary database
Provide subject matter expertise to enhance the relationships of our Terminal users by quickly and accurately answering client inquiries
Integrate your natural interests and strengths with the Fixed Income product to contribute beyond data acquisition and re *** tion. Explore new strengths and opportunities by upskilling yourself
Support product development based off client needs and interactions
You'll need you to have:
3+ relevant experience in a role within the fixed income financial markets
Proven ability to build and maintain client relationships
Effective research and analysis skills with attention to detail
Excellent communication, customer service, and teamwork skills
An interest in technology and data analysis
Ability to spot market trends and act on them to enhance depth and breadth of coverage
Legal authorization to work in the US without visa sponsorship now or in the future

*** is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up].

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

10/18

Legal Data Analyst - Data Enrichment

Princeton, NJ Details

Full Time

The *** Industry Group division of Data is dependent upon our legal research analysts to continue building excellent products using an outstanding combination of business insight, domain knowledge, technical expertise and an entrepreneurial spirit. The Data Industry Group provides a variety of opportunities for professionals in the legal field to embark on a groundbreaking career combining their legal knowledge world-class technology and motivated colleagues.

As a member of the Data Enrichment team, you will have the opportunity to function as a subject matter authority in all areas of the law, providing the legal insights our customers require. You will work with our business partners to ensure our data meets the high quality standards our clients expect, providing timely and accurate analytics. You will also have the unique opportunity to partner with engineering and machine learning experts in order to explore new technologies with an eye towards innovation and evolution of the product.

The Data Industry Group offers a distinctive and prestigious alternative legal career which allows you to blend your passion for the law with technical know-how, eye for business, and data analysis. We are looking for creative and energetic individuals who are able to tackle problems on a large scale while still maintaining attention to detail.

We'll trust you to:

Analyze legal, legislative & administrative data, becoming a subject-matter guide with the ability to drive technical solutions internally
Collaborate with fellow data analysts, Engineering, and *** Industry Group staff to devise creative solutions to technical challenges
Find opportunities for increased efficiency in our existing workflows and processes to make a business impact
Collaborate closely with partners to bring together requirements, scope, and develop project plans

What's in it for you:

Contribute to developing and maintaining the BLAW platform
You'll belong to a team responsible for analyzing court opinions on BLAW
Opportunities to manage vendor teams and ensure quality performance and adherence to SLAs
You'll benefit from *** 's dynamic and collaborative environment and contribute to creating new technology-driven solutions for legal professionals
We'll invest in you, and coupled with our individualized approach to career development, we will help you expand your skills and opportunities

You will need to have:

Graduated with a Juris Doctor (JD) degree from an accredited law school
Passed a state bar examination and either have been admitted, or be pending admission
A keen interest in building your technology knowledge and skills. Ideal candidates will have basic understanding or a desire to learn data analysis tools, including Excel, Python, and/or SQL
Familiarity with online legal research tools. Experience with the BLAW product is a plus
Strong analytical, written and verbal communication skills
Willingness to travel

We'd love to see:

Professional work experience in the legal field. Ideal candidates will have 1 to 3 years of professional work experience with a demonstrated aptitude for legal research and analysis and creative problem-solving
Experience with process reengineering, or with improving/enhancing an existing process
Demonstrate intellectual curiosity with a willingness to challenge oneself and peers to drive innovation of thought

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.

*** is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up].

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

8/31

Dividend Forecasting Team Leader

Princeton, NJ Details

Full Time

At *** , our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we're responsible for delivering data, news, and analytics through innovative technology - quickly and accurately.

More than 320,000 business leaders rely on the real time financial information available on the *** Professional Service. Our products run on intelligence and industry-specific insight provided by Global Data's Dividend Forecasting team. Our team of Analysts insights and research move the markets every day, and we are growing.

The Dividend Forecasting team monitors and interprets major company developments to identify themes or trends affecting key market sectors. The team is responsible for providing value beyond as reported data using their financial and market knowledge to forecast key data-points about a company that clients can use to understand the potential direction and magnitude of a company's dividend payout. The team uses their sector and regional domain expertise to generate insightful content for client consumption.

The Role:
As the Team Leader, you are required to be a hands-on leader that can effectively manage, empower, and develop a team. You will lead by example in understanding the financial market, dividends data, processes, and the broader environment in which the team operates, which are critical to guide the team effectively. To do so you will have a small portfolio of coverage of company dividends to forecast. Using your market knowledge and experience, you will guide your team to find opportunities to expand coverage, ensure quality and timeliness of the product, and improve processes. We are looking for a dedicated individual who has the ability to adapt quickly and thoughtfully and delivers outstanding customer service. You will work closely with the global team leads, team specialists, product, engineering, and stakeholders to create business opportunities. Business leaders rely on the real time financial information available on the *** Professional Service, and your passion and expertise will have tremendous impact on our high-profile product offering.

We'll trust you to:

Demonstrate leadership skills through prior experience
Retain, coach, and hire team members of an impactful team
Utilize your strong working knowledge of the financial markets and an understanding of finance and accounting principles/procedures and financial statements
Demonstrate proven expertise with financial modeling
Collaborate extensively with global peers and stakeholders across Data, Product, Engineering, and Sales
Drive improvements focused on time to market, data quality, and coverage expansion

You'll need to have:

A Bachelor's degree in Finance, Economics, Business, or Accounting
Minimum of 2 years in financial market research or financial data analysis
Ability to work in a fast-paced, evolving environment
Strong attention to detail and high degree of demonstrated decision-making and problem-solving skills
Customer-focused approach and ability to interact with a diverse range of client types
Ability to i *** uence others and lead change
Eagerness to learn and collaborate with others

We'd love to see:

Master's degree in Business, Finance, Accounting, MBA, or related subject area preferred/CFA designation
Exposure to *** products such as the Professional Service
Project management skills and/or experience
Working knowledge of technologies (SQL, Python)

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.

*** is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up] (mailto:[Please reply using Staff Me Up]).

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

4/30

Macro/Geospatial Data Senior Manager

Princeton, NJ Details

Full Time

*** runs on data, and data drives the market. *** 's Data team acquires and supplies this data to our clients. Teams work collaboratively to collect, analyze, process and publish the data which is the backbone of our iconic *** Terminal and ultimately feeds and moves the financial markets.

We are looking for a senior leader to lead our Macro and Geospatial Data department at *** . The Macro and Geospatial Data Manager will be part of the senior Data leadership team. In this role, you will be responsible for building a strategy, growing and leading a global team and maturing Data's capability in producing strategic insights. Further, the ideal candidate would have the skills to effectively identify business needs and gaps in our macro, economic, commodities and geospatial datasets.

We'll trust you to:

Establish and implement a data strategy that aligns with and accelerates *** business objectives in the Macro and Geospatial Data space
Work closely with key stakeholders and data subject matter experts to develop aligned data models that are easily digested and consumed by all downstream processes and users
Collaboratively create and oversee policies, procedures, best practices and frameworks to govern how the data is collected, stored, enriched, structured and accessed
Establish best practices to ensure data is consistent and compatible throughout our product offerings and of high quality
Work closely with key stakeholders and data subject matter experts
Build and maintain relationships with engineering and technology teams to ensure the data architecture meets the needs
Gain buy-in and appropriate resource allocation from senior management and other stakeholders to make prioritization decisions
Partner with HR to recruit, retain and develop diverse talent within your organization

You'll need to have:

A minimum of 8-12 years experience leading teams and similar experience that has prepared you for this role, which includes:
Experience creating data pipelines, improving data workflows, and building comprehensive data models
Proven ability to align with and collaborate across multiple engineering and technology teams to design and deliver scalable data solutions
Knowledge of data enrichment best practices for datasets with rich and varying metadata fields
A Bachelor's degree in Computer Science, Data Analysis or related STEM field; an advanced degree is highly preferred
Past exposure and ability to define and build a new capability and team around that capability
Demonstrated understanding of the techniques and methods of data governance, data analysis, data quality and data protection management practices
Demonstrated ability to conduct user research and surface insights that lead to commercial outcomes
Strong leadership skills and experience, with emphasis on executing projects in a matrix organization
Acute problem-solving and analytical skills (in particular, experience conducting product discovery by analyzing operational/ usage data and by interviewing users)
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.

*** is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up].

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.