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Bloomberg Quant Jobs (NOW HIRING)

Bloomberg

Macro Strategist

Manhattan, NY

You will have a willingness to leverage Bloomberg's AI and quantitative tools to craft analysis that won't be easily replicable anywhere else. We'll trust you to: * Produce macro markets analysis for ...

Point72

Trader/Quant Analyst

Stamford, NY

Familiarity with risk management systems and trading platforms (e.g., Bloomberg, Tradeweb). * Strong analytical and quantitative data skills; proficiency in Excel and at least one programming ...

Point72

Trader/Quant Analyst

Stamford, NY · On-site

Familiarity with risk management systems and trading platforms (e.g., Bloomberg, Tradeweb). * Strong analytical and quantitative data skills; proficiency in Excel and at least one programming ...

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Bloomberg Quant information

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$45.5K

$139.5K

$282K

How much do bloomberg quant jobs pay per year?

As of May 31, 2026, the average yearly pay for bloomberg quant in the United States is $139,520.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $174,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Bloomberg Quant, you need strong quantitative analysis skills, programming expertise (often in Python, C++, or R), and a relevant advanced degree such as a Master's or PhD in mathematics, finance, or a related quantitative field. Familiarity with financial modeling platforms, Bloomberg Terminal, and data analysis tools is typically required, along with knowledge of market data systems. Critical thinking, attention to detail, and effective communication are essential soft skills for translating complex data into actionable financial insights. These competencies are crucial for developing innovative quantitative strategies and delivering high-value analytics in a dynamic financial environment.

How do Bloomberg Quants typically collaborate with other departments such as engineering and sales?

Bloomberg Quants work closely with engineering teams to implement quantitative models and ensure their integration into Bloomberg’s software platforms. They also interact with sales and product management to understand client needs, tailor analytical solutions, and provide technical support. Effective communication and teamwork are essential, as projects often require input from multiple disciplines to deliver robust, client-focused products. This collaborative environment enables Quants to gain a broader business perspective while deepening their technical expertise.

What is a Bloomberg Quant?

A Bloomberg Quant is a quantitative analyst who works at Bloomberg, focusing on developing mathematical models, algorithms, and tools to analyze financial data and support decision-making in trading, risk management, and investment strategies. These professionals use advanced statistical techniques, programming, and data analysis to interpret large datasets and generate actionable insights for Bloomberg's clients and internal teams. They often collaborate with engineers, data scientists, and financial experts to enhance Bloomberg's product offerings and maintain its leadership in financial analytics.

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

AspectBloomberg QuantBloomberg Data Analyst
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; programming skillsBachelor's degree in finance, economics, or related fields; data analysis skills
Work EnvironmentQuantitative research teams, financial modeling, algorithm developmentData collection, cleaning, reporting, and supporting decision-making
Employer & Industry UsageFinancial institutions, hedge funds, asset managers using quantitative strategiesFinancial firms, investment banks, and corporations analyzing market data

Bloomberg Quants focus on developing complex models and algorithms to inform trading strategies, requiring advanced quantitative skills. In contrast, Bloomberg Data Analysts primarily handle data management and reporting tasks to support business decisions. Both roles are integral in financial services but differ in technical depth and responsibilities.

More about Bloomberg Quant jobs
What cities are hiring for Bloomberg Quant jobs? Cities with the most Bloomberg Quant job openings:
What states have the most Bloomberg Quant jobs? States with the most job openings for Bloomberg Quant jobs include:
What job categories do people searching Bloomberg Quant jobs look for? The top searched job categories for Bloomberg Quant jobs are:
Bloomberg Quant jobs near you
Infographic showing various Bloomberg Quant job openings in the United States as of May 2026, with employment types broken down into 100% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $139,520 per year, or $67.1 per hour.
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

Posted 7 days ago

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.
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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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