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Bloomberg Api Jobs (NOW HIRING)

Bloomberg LP

Senior Software Engineer - BQL

New York, NY · On-site

$134K - $176K/yr

Providing unified and consistent access and analytics on top of Bloomberg's rich data through a common API and expression language. * Scaling the BQL infrastructure to handle more users, and more ...

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How much do bloomberg api jobs pay per hour?

As of Jun 13, 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 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.

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.
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What job categories do people searching Bloomberg Api jobs look for? The top searched job categories for Bloomberg Api jobs are:
Bloomberg Api jobs near you
Infographic showing various Bloomberg Api job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, 3% Part Time, and 7% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $124,567 per year, or $59.9 per hour.
Product Manager - Data User Experience - BQuant

Product Manager - Data User Experience - BQuant

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description

Product Manager - Data User Experience - BQuant
Location
New York
Business Area
Engineering and CTO
Ref #
10049958
Description & Requirements
What we do
Bloomberg is the global leader in financial data, analytics, and technology. Our products power the workflows of financial professionals across research, trading, portfolio management, and risk.
At the centre of this is BQuant. BQuant reimagines the Bloomberg experience by putting code at its core - it brings together the cutting edge of our Data, API, and AI strategies to enable unprecedented customization and time-to-value for our code-aware users, and in a manner that is instantly available. These users can quickly analyze and combine Bloomberg's extensive financial data and analytics with their own, to build models and workflows that span the entire investment lifecycle, and easily make these available to any other user at their firm.
Your Role
As Product Lead for the Data User Experience, you will define and drive the vision, strategy, and execution of the core data and analytics experience within BQuant.
You will be responsible for how users discover, access, understand, and work with data, enabling them to combine Bloomberg data with proprietary datasets to power research, trading and AI applications - with confidence and trust.
Your customers will include both end users and internal teams building workflow-specific solutions on top of the platform, such as backtesting and trading systems integrations. You will also serve as the primary liaison to Bloomberg's data-producing teams, and will work closely with Engineering, Quants, and other product managers to ensure the platform enables a wide range of use cases, from exploratory research to production-grade applications.
What You'll Do
Define the Data User Experience
  • Set the vision and own the execution for the end-to-end data experience in BQuant
  • Own the roadmap and backlog, taking into account external and internal customer input, product strategy, value propositions, competitor analysis and operational requirements
  • Balance short-term improvements with long-term platform scalability

Build a Scalable Data Analytics Platform
  • Ensure data can be easily integrated, enriched, and combined with client data
  • Define and evolve API abstractions for using financial and alternative datasets
  • Ensure data is provisioned with appropriate SLAs, reliability, and performance
  • Enable support for different workflows using batch and streaming data
  • Drive consistency in how data is modeled, accessed, and used across the platform
  • Ensure robust handling of entitlements, security, and data governance

Enable Quantitative and Data Intensive Workflows
  • Support workflows across research, backtesting, and production deployment
  • Enable users to generate signals and analytics from combined datasets
  • Partner with teams building solutions on top of the data platform
  • Ensure the platform supports multi-asset and complex financial data use cases
  • Enable users to trust data across the full lifecycle from experimentation to production

Collaborate Across Bloomberg
  • Act as the primary liaison with data-producing teams to onboard new datasets
  • Partner with Engineering, UX, and other product teams to deliver cohesive solutions
  • Balance the needs of internal platform users and external clients

What We're Looking For
Product Strategy & Execution
  • Proven ability (5 yrs+) to define and execute product strategy for platform products
  • Expert prioritization skills balancing user needs, technical constraints, and business impact
  • Experience delivering complex products from concept through execution

Data Platform Expertise and Innovation
  • Strong experience building or leading data platforms or analytics infrastructure
  • Good understanding of data access patterns, APIs, and data modeling
  • Experience working with large-scale datasets, including time series and streaming data
  • Practical experience applying AI/ML to solve customer problems, with a strong understanding of how to translate emerging capabilities into product strategy and measurable outcomes

Partnership & Communication
  • Deep experience working closely with engineering teams on technical platform products
  • Excellent communication skills with both technical and non-technical stakeholders
  • Strong collaboration skills across Product, Engineering, Quants, and business teams

Quantitative & Data Workflow Understanding
  • Understanding of workflows across research, analytics, and trading
  • Experience enabling users to combine multiple datasets and generate insights
  • Familiarity with challenges in moving from research to production systems
  • Experience addressing data quality, entitlements, security, and governance challenges

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.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
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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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