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Bloomberg Api Jobs (NOW HIRING)

Campbell

Software Engineer

Baltimore, MD · On-site

$85K - $130K/yr

Understanding of financial technologies (FIX, Bloomberg API, etc.) * Knowledge of Microsoft middleware and security technologies--WCF, MSMQ/Service Bus, Windows Services, AD, and related security ...

Stefanini

IT Network Security

Pittsburgh, PA

Bloomberg, Paladyne, Markit. Strong Microsoft Excel skills; working knowledge of the Bloomberg Excel API preferred * Knowledge of system integrity, data validation, Order Management Systems, and the ...

Jain Global

Front Office Developer

New York, NY · On-site

$200K - $225K/yr

... Python; utilizing Bloomberg, including BPipe and BLAAPI to generate alpha; performing data ... API queries, multithreading codes, and backoff algorithms. Telecommuting and/or working from home ...

Vestmark, Inc.

Senior QA Engineer

Boston, MA · Hybrid

Integration testing experience: inbound file processing, outbound file creation, API testing, configuration testing * Experience with BETA, APL, FIX, IDC, Reuters, Morningstar, or Bloomberg

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How much do bloomberg api jobs pay per hour?

As of Jul 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 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.
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:
Bloomberg Api jobs near you
Quantitative Developer - C++ Infrastructure for Quant Analytics

Quantitative Developer - C++ Infrastructure for Quant Analytics

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 209 rated software companies

Job description

Quantitative Developer - C++ Infrastructure for Quant Analytics
Location
New York
Business Area
Product
Ref #
10051690
Description & Requirements
The Quant Analytics department at Bloomberg sits within Enterprise Products and is responsible for modeling market data, pricing, and risk calculations of financial derivatives across all asset classes. Our C++ libraries are used by all Bloomberg products and services, including the Terminal with over 300,000 clients, trading system solutions, enterprise risk management, and derivatives valuation services.
The department includes several Quant teams focused on different asset classes, as well as portfolio-level analytics and model validation. These teams deliver C++ libraries, supported by Python-based validation and testing, that are integrated by the Engineering department into Bloomberg's IT systems.
The Quant Library Architecture (QLA) team offers the opportunity to build experience at the cutting edge of C++ and financial mathematics, engaging with and influencing a wide variety of stakeholders of differing skill sets, to deliver scalable and strategic enterprise pricing and risk solutions. QLA is a small team of C++ experts tasked with helping the Quants be as productive as possible, for the long term. We are seeking a proficient C++ developer, with a strong interest in modern software development life-cycle practices.
We'll trust you to:
  • Support Quants; owning the developer experience for Quants. We build and debug C++ libraries either in VS Code remote containers in Docker, or directly on Unix hosts. Much of the infrastructure is provided by Engineering, but QLA maintain significant additional tooling to provide Quants the most powerful and usable development environment possible.
  • Proactively maintain integration builds and test infrastructure. We run largely automated CI/CD builds with a wide variety of static analysis and other code quality assurance tooling. This affords not just ongoing regression testing, but also early warning of issues that might impair Quants' development environment. Rapid response and ongoing improvements to these systems are a key responsibility.
  • Oversee architecture. Quants own a reasonable number of libraries interfaced into a wide variety of systems. QLA are heavily involved in API design and library architecture to meet Engineering standards whilst optimizing time to delivery, performance, and robustness. We also assess and provision 3rd party software when proven superior.
  • Review code. Assisting Quants with coding best practices and improved solutions both when requested and proactively when appropriate.
  • Once those Keep-The-Lights-On responsibilities are met, continue with project work as prioritized in partnership with Quants. This might be longer term improvements related to the above, development work on infrastructural components (such as the interfacing and orchestration library layers), performance tuning, or deeper engagement with Quant projects.
  • Proactively engage stakeholders from a variety of backgrounds.
  • Understand, document and communicate sometimes quite complex requirements.
  • Context switch between strategic projects and urgent support requests.
  • Clearly and concisely communicate a strategy, adapting communication to suit the audience and their concerns.

You'll need to have:
  • 7+ years of full software development life-cycle experience.
  • Demonstrable proficiency with C++.
  • Experience designing effective APIs.
  • Knowledge of Python or other scripting languages.
  • Knowledge of financial products such as derivatives, interest rates, or equity markets.

We'd love to see:
  • Experience mentoring and coaching other team members.
  • Technical experience in some of CMake, AAD, Linux, Unix (Sun/IBM), Docker, WSL, Python, or OCaml.
  • Knowledge of financial mathematics such as optimization techniques, monte-carlo, etc.
  • A keen interest in developing skills in these areas.

Salary Range = 160,000 - 250,000 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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