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Bloomberg Api Jobs (NOW HIRING)

Glean

Product Manager, API Platform

San Francisco, CA · On-site

... Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI ... Lock the API contract and requirements before engineering starts building, and hold the line when ...

Glean

Product Manager, API Platform

Mountain View, CA · On-site

... Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI ... Lock the API contract and requirements before engineering starts building, and hold the line when ...

Socket.dev

... Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI ... Lock the API contract and requirements before engineering starts building, and hold the line when ...

Bloomberg BNA

Technical Architect Lead

Arlington, VA · On-site

$152K - $185K/yr

Posted Yesterdayjob requisition id: 142832At Bloomberg Industry Group, our mission is simple: solve ... Extensive background in API design and integration, championing API-first development.* A ...

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How much do bloomberg api jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for bloomberg api in the United States is $59.89, according to ZipRecruiter salary data. Most workers in this role earn between $54.57 and $67.31 per hour, depending on experience, location, and employer.

What is the Bloomberg API?

The Bloomberg API, also known as Bloomberg Open API (BLPAPI), is a set of programming interfaces that allow users to access Bloomberg's real-time and historical financial data programmatically. It enables developers and financial professionals to integrate Bloomberg data into their own applications, spreadsheets, or trading systems. The API supports multiple programming languages, including Python, Java, C++, and C#, making it versatile for a variety of use cases. To use the Bloomberg API, you typically need a Bloomberg Terminal subscription and the appropriate software installed.

What are some common challenges faced by professionals working with the Bloomberg API, and how can they be addressed?

Professionals working with the Bloomberg API often encounter challenges such as managing data request limits, handling complex data structures, and ensuring data integrity in real-time applications. It’s important to have a strong understanding of both the API documentation and the programming language being used (like Python, C++, or Java). Collaborating closely with other developers and Bloomberg support, as well as regularly testing and optimizing your code for performance, can help mitigate these challenges. Staying up to date with platform updates and participating in user forums also provides valuable insights and solutions.

What are the key skills and qualifications needed to thrive as a Bloomberg API developer, and why are they important?

To thrive as a Bloomberg API Developer, you need strong programming skills (such as Python, C++, or Java), experience with financial data, and familiarity with the Bloomberg Terminal and its API documentation. Proficiency in using Bloomberg’s API tools (like Bloomberg API SDKs) and understanding of data integration or automation platforms are typically required. Analytical thinking, problem-solving abilities, and clear communication are valuable soft skills for interpreting requirements and collaborating with financial professionals. These skills ensure accurate integration, timely delivery of financial data, and effective support for trading, analysis, or reporting workflows.

What is the difference between Bloomberg Api vs Bloomberg Data Analyst?

AspectBloomberg ApiBloomberg Data Analyst
Required CredentialsTechnical certifications, API integration skillsDegree in finance, economics, or related field
Work EnvironmentDevelopers, IT teams, financial technology firmsFinancial institutions, investment firms, data teams
Employer & Industry UsageFinancial technology companies, data providersAsset management, banking, financial analysis
Common Search & ComparisonAPI integration, data retrieval, programmingFinancial data analysis, reporting, market research

Bloomberg Api primarily involves technical skills for integrating and retrieving financial data via APIs, often used by developers and IT professionals. In contrast, Bloomberg Data Analysts focus on analyzing and interpreting financial data to support decision-making within financial institutions. While both roles work with Bloomberg data, their core functions and required skills differ significantly.

More about Bloomberg Api jobs

What job categories do people searching Bloomberg Api jobs look for?

The top searched job categories for Bloomberg Api jobs are:

Infographic showing various Bloomberg Api job openings in the United States as of September 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 73% Physical, 6% Hybrid, and 21% Remote job distribution, with an average salary of $124,567 per year, or $59.9 per hour.

Product Manager- Funds & Index Analytics

Princeton, NJ • On-site

Bloomberg LP
Finance and Insurance • 10K+ employees
Learn more about Bloomberg LPexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

Product Manager- Funds & Index Analytics
Location
Princeton
Business Area
Product
Ref #
10051308
Description & Requirements
Funds and indices sit at the heart of the Bloomberg ecosystem and are used by a wide range of market participants, including portfolio managers, fund selectors, strategists, and data consumers. As client workflows become more analytical, automated, and API-driven, Bloomberg has a significant opportunity to expand how funds and index analytics are delivered across the Terminal, Enterprise Data, and AI-powered experiences.
We are looking for a Product Manager to lead Bloomberg's holdings-based analytics strategy for funds and indices. This includes analytics that rely on the underlying holdings of a fund or the constituents of an index, such as OAS or KRD for fixed income indices, factor exposures for equity funds, valuation metrics such as P/E ratio, risk measures, characteristics, attribution, and scenario analytics.
Bloomberg already has a deep set of analytics in this space. This role will focus on making those analytics consistently available at the fund and index level through scalable services and APIs, while ensuring alignment with key Bloomberg functionality such as Portfolio Analytics (PORT), Factors, Enterprise Data, and AskB. You will help define how these analytics are modeled, accessed, explained, and distributed to clients across Bloomberg's product ecosystem.
We'll trust you to:
  • Define and drive the product strategy for Bloomberg's holdings-based analytics across funds and indices, aligned with priorities such as AskB, Enterprise Data integration, and broader platform initiatives
  • Translate client and business needs into clear product direction, requirements, and prioritization
  • Lead the development of more unified and consistent experiences across funds, index analytics, Portfolio Analytics, Factors, and related Bloomberg products
  • Partner closely with Engineering, Data, Enterprise, and Product teams to deliver scalable analytics capabilities aligned with infrastructure and migration initiatives
  • Ensure analytics are delivered consistently across user interfaces, APIs, data products, and AI-driven workflows
  • Define success metrics and measure impact through adoption, client engagement, data usage, and commercial outcomes

You'll need to have:
  • 7+ years of product management or equivalent experience in financial data, analytics platforms, portfolio analytics, or complex financial workflows
  • Strong knowledge of holdings-based analytics, including characteristics, factor exposure, performance, attribution, scenario analysis, and ex-ante or ex-post risk
  • Experience with equity and/or fixed income analytics, with the ability to work across asset classes
  • A strong understanding of fund selection, portfolio analysis, or index analytics workflows
  • Experience working with data systems, APIs, data modeling, or analytics platforms
  • Ability to operate across technical and business domains, partnering effectively with Engineering, Data, Sales, and Product stakeholders
  • Proven ability to define product strategy, make prioritization decisions, and execute in ambiguous, cross-functional environments
  • Technical fluency, strong judgment, and a pragmatic problem-solving mindset

We'd love to see:
  • Familiarity with Bloomberg Terminal (especially Funds and Portfolio tools) or similar platforms
  • CFA or similar designation
  • Clear written and verbal communication skills, with the ability to explain complex concepts simply

Salary Range = 140,000 - 295,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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