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Bloomberg Quant Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 Aug 17, 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 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.

How does a Bloomberg Quant 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 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.

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.

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Bloomberg Quant jobs near you
Infographic showing various Bloomberg Quant job openings in the United States as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 78% Physical, 15% Hybrid, and 7% Remote job distribution, with an average salary of $139,520 per year, or $67.1 per hour.

Financial Engineer - Core Product

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 244 rated software companies

Job description

Financial Engineer - Core Product
Location
New York
Business Area
Product
Ref #
10053143
Description & Requirements
Derivatives professionals need accurate, transparent valuations to assess risk, validate pricing, and make decisions in fast-moving markets. Bloomberg provides an integrated derivatives solution enabling full valuation and risk workflows across asset classes. Our models are powered by high-quality market data, analytics, and financial engineering expertise, giving clients the confidence they need to trade, risk-manage, and stay ahead of market developments.
What's the role?
Bloomberg's Financial Engineering Services team is a specialized group with both core product development responsibilities and enterprise client/business ownership for BVAL Derivatives. The team plays a critical role in developing Bloomberg's derivatives pricing, data, and risk analytics.
As a Financial Engineer, you will combine deep OTC derivatives expertise with strong client-facing skills. You will work closely with product managers, quantitative researchers, engineers and sales teams to design, build, and test best-in-class derivatives solutions. This includes contributing to pricing model design, market convention analysis, data aggregation, price challenges, workflow enhancements, and new business opportunities.
Given the complexity of OTC derivatives, our team is composed primarily of experienced market practitioners from trading, structuring, front-office quantitative research, risk management, or IPV (independent price verification) roles.
We'll trust you to:
  • Serve as derivatives SME (subject matter expert), partnering with data, product, quant, and engineering teams to develop Bloomberg's next-generation pricing, data, and risk platform.
  • Engage enterprise clients on valuation and data related queries, including price challenges, methodology review, and workflow testing.
  • Partner with sales teams on new client opportunities, including client meetings, product demos, and coverage reviews.
  • Stay current on derivatives market developments, evolving market practices, regulatory trends, and emerging pricing methodologies.
  • Help build and maintain a "Golden Catalog" of pricing templates for structured products and exotic instruments.
  • For candidates with strong coding experience, contribute to the development of advanced pricing tools and rapid prototyping solutions.
  • You'll need to have:
  • 5+ years of experience in a front-office quantitative, structuring, trading, risk, IPV, financial engineering, or derivatives vendor role.
  • Strong knowledge of derivatives pricing models in at least one major asset class, such as Rates, Equities, FX, Credit, or Commodities.
  • Practical understanding of market conventions, vanilla and exotic derivatives, bespoke valuation practices, hedging approaches, and street pricing methodologies.
  • Experience communicating complex quantitative or valuation concepts to clients, prospects, and internal stakeholders.
  • Strong ownership mindset, with the ability to operate independently, prioritize effectively, and drive work to completion.

We'd love to see:
  • Asset class expertise in Commodities or FX derivatives.
  • Master's degree or PhD in a STEM discipline, quantitative finance, financial engineering, or a related field.
  • Experience using Bloomberg and other derivatives pricing, risk, or valuation platforms.
  • Technical experience with financial libraries, scripting, or pricing tool development.
  • Familiarity with Windows, Unix, and/or Linux environments.

Salary Range = 140,000 - 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.
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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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