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Bloomberg Quant Jobs (NOW HIRING)

Bloomberg

Senior Software Engineer - BQuant

Manhattan, NY

$135K - $178K/yr

... Bloomberg's cutting-edge financial research and data science platform. With the tremendous growth of market data and the increasing sophistication of machine learning and quantitative methods ...

Bloomberg LP

Macro Strategist

New York, NY · On-site

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 ...

Bloomberg

Senior Software Engineer - Buy-Side

Manhattan, NY

$135K - $178K/yr

Powering Global Asset Management at Scale Bloomberg Buy-Side delivers a comprehensive, multi-asset ... Partner with product managers, quantitative analysts, and infrastructure engineers to deliver ...

Nomura International

Quant Researcher

Manhattan, NY

$175K - $250K/yr

Quantitative Researcher Department: Global Markets Location: New York Corporate Title: Associate ... Familiarity with risk systems (Axioma, Barra, Bloomberg PORT) and market data platforms Nomura ...

Nomura International

Quant Researcher

Manhattan, NY · On-site

$175K - $250K/yr

Quantitative Researcher Department: Global Markets Location: New York Corporate Title: Associate ... Familiarity with risk systems (Axioma, Barra, Bloomberg PORT) and market data platforms Nomura ...

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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 Jun 1, 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.
Senior Software Engineer - BQuant

Senior Software Engineer - BQuant

Bloomberg

Manhattan, NY

$135K - $178K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Senior Software Engineer - BQuant

Location

New York

Business Area

Engineering and CTO

Ref #

10051734

Description & Requirements

BQuant is Bloomberg's cutting-edge financial research and data science platform. With the tremendous growth of market data and the increasing sophistication of machine learning and quantitative methods, finance is quickly becoming a domain where only the best-capitalized firms can compete. BQuant's mission is to change that by empowering researchers and investment decision-makers worldwide with sophisticated tools currently only available to the largest investment firms.

BQuant comprises three main components:

  1. Datasets: BQuant provides a comprehensive range of datasets for analysis, ensuring that users have access to the most relevant and up-to-date information.

  2. Analytical Tools: BQuant's suite of tools enables clients to explore and analyze their data effectively. Users can leverage these tools to create and share their research through intuitive dashboards and apps. The BQuant platform is built on open source tools like Python and Jupyter notebooks and is fully integrated with the Bloomberg Terminal®.

  3. Cloud Infrastructure: The BQuant platform offers robust cloud infrastructure, ensuring reliability, scalability, and security for all users.

By integrating these components, BQuant offers a holistic solution that democratizes access to advanced financial analysis, enabling teams of all sizes to compete on a level playing field.

You'll need to have:

  • 4+ years of software development experience

  • Significant experience working in a cloud native environment, using a modern technology stack

  • Proficiency in one or more programming languages such as Golang or Python

  • A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience

See what people are saying about BQuant:

  • Bloomberg founder, Mike Bloomberg:

  • Bloomberg CTO, Shawn Edwards:

  • Bloomberg tech blog:

Some of our recent contributions to the open source community:

  • BlazingMQ:

  • PyStack:

Some recent / upcoming projects:

  • Secure, credential-less authentication of user workloads using SPIFFE

  • Building private cross-cloud networking between AWS, Azure and Bloomberg's networks

  • Building automation to orchestrate deployment/update to 100s of Kubernetes clusters

  • Building out the backend for a new self-service dashboarding solution for our clients

Salary Range = 160,000 - 240,000 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 for an inside look at our culture, values, and the people behind our success.

Bloomberg 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.

Bloomberg 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 amer_recruit@bloomberg.net

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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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