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Financial Engineering Jobs (NOW HIRING)

Agupdate

$180 - $260/hr

S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Computational Finance, Applied Mathematics, or related quantitative field and three (3) years of experience in job ...

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$136K

How much do financial engineering jobs pay per year?

As of Sep 4, 2026, the average yearly pay for financial engineering in the United States is $110,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $124,500.00 per year, depending on experience, location, and employer.

What is financial engineering?

Financial engineering is the application of mathematical techniques, computer science, and statistical methods to solve problems and create innovative solutions in finance. Professionals in this field develop new financial products, manage risk, and optimize investment strategies using quantitative models. Financial engineers often work in banks, investment firms, hedge funds, or financial technology companies, helping organizations manage complex financial systems and products. The discipline combines finance, mathematics, statistics, and programming to address challenges in areas like derivatives pricing, risk management, and portfolio optimization.

What are some common challenges faced by financial engineers when implementing quantitative models in real-world financial institutions?

Financial engineers often encounter challenges such as aligning complex quantitative models with existing IT infrastructure and ensuring the models comply with regulatory requirements. Additionally, translating theoretical models into practical, scalable solutions that can handle large volumes of real-time data requires close collaboration with software developers and risk managers. Effective communication with non-technical stakeholders is also crucial, as financial engineers must explain model assumptions and results to decision-makers from diverse backgrounds.

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

To thrive as a Financial Engineer, you need a strong background in quantitative analysis, mathematics, programming, and finance, typically supported by a relevant degree such as financial engineering, mathematics, or computer science. Expertise in programming languages like Python, R, or C++, as well as familiarity with financial modeling software and risk management systems, is essential. Strong problem-solving, analytical thinking, and communication skills set top performers apart in this role. These skills are crucial for designing innovative financial products, managing complex risks, and translating quantitative insights into actionable business strategies.

What is the difference between Financial Engineering vs Quantitative Analyst?

AspectFinancial EngineeringQuantitative Analyst
Required CredentialsDegree in Financial Engineering, Mathematics, or related fields; often certifications like CQFDegree in Finance, Mathematics, or Statistics; certifications like CFA or CQF are common
Work EnvironmentFinancial institutions, hedge funds, investment banks; focus on product development and risk managementTrading desks, asset management firms; focus on data analysis and model development
Employer & Industry UsageUsed in risk management, derivatives pricing, and structured productsUsed in trading strategies, portfolio management, and risk assessment

Financial Engineering and Quantitative Analysts often share similar educational backgrounds and work in related financial sectors. While Financial Engineers focus on creating financial products and managing risks through complex models, Quantitative Analysts primarily analyze data to inform trading and investment decisions. Both roles require strong quantitative skills and often overlap in financial institutions.

What is the work of a financial engineer?

A financial engineer develops mathematical models and uses quantitative techniques to analyze and manage financial risks, design trading strategies, and create financial products. They often work with programming tools like Python or C++ and require strong skills in mathematics, finance, and computer science. Their work supports decision-making in investment banks, hedge funds, and financial institutions.

What jobs do financial engineers get?

Financial engineers typically work as quantitative analysts, risk managers, derivatives traders, or financial modelers in banking, investment firms, hedge funds, and insurance companies. They use skills in mathematics, programming, and financial theory to develop models and strategies for trading, risk assessment, and asset management.
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The top searched job categories for Financial Engineering jobs are:

Financial Engineering jobs near you
Infographic showing various Financial Engineering job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $110,812 per year, or $53.3 per hour.

Financial Engineer - Core Product

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 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 247 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.
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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