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$31.5K

$71.6K

$115K

How much do financial mathematics jobs pay per year?

As of Jun 11, 2026, the average yearly pay for financial mathematics in the United States is $71,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $92,000.00 per year, depending on experience, location, and employer.

What does a financial mathematician do?

A financial mathematician analyzes financial data and develops mathematical models to assess risk, price derivatives, and optimize investment strategies. They often use tools like calculus, statistics, and programming languages such as Python or R, and may work in finance, banking, or investment firms. Strong quantitative skills and knowledge of financial markets are essential for this role.

What is the highest paying job in mathematics?

In the field of financial mathematics, quantitative analysts, often called quants, tend to have the highest salaries, especially in investment banks and hedge funds. These roles require advanced skills in mathematical modeling, programming, and financial theory, and they often offer six-figure salaries plus bonuses. Senior roles such as chief risk officers or quantitative research directors also command high compensation in finance-related mathematics careers.

What are the key skills and qualifications needed to thrive in the Financial Mathematics position, and why are they important?

To thrive in Financial Mathematics, you should possess strong quantitative, analytical, and problem-solving skills, typically supported by an advanced degree in mathematics, finance, statistics, or a related field. You should be proficient in tools such as Python, R, MATLAB, or specialized financial modeling software, and having certifications like CFA or FRM is highly valued. Strong communication, attention to detail, and effective teamwork are crucial soft skills for translating complex analyses to stakeholders. These qualifications enable you to accurately assess financial risks and opportunities, supporting sound decision-making in fast-paced financial environments.

What is a Financial Mathematics job?

A Financial Mathematics job involves applying mathematical models and techniques to analyze financial markets, manage risk, and optimize investment strategies. Professionals in this field work in areas such as quantitative finance, risk management, and financial engineering. They use statistical methods, programming, and mathematical modeling to solve complex financial problems. Typical employers include banks, investment firms, insurance companies, and financial technology (fintech) companies. Strong analytical skills and proficiency in mathematical tools like calculus, probability, and stochastic processes are essential.

What are the typical career advancement opportunities for professionals working in Financial Mathematics?

Financial Mathematics professionals often start in analyst or quantitative roles and can progress to more senior positions such as quantitative strategist, risk manager, or head of quantitative research. With experience and continued education, there are opportunities to move into leadership positions, manage larger teams, or transition into specialized areas such as portfolio management or algorithmic trading. Professional growth is supported by gaining further certifications, taking on complex projects, and building expertise in niche markets or emerging financial technologies. Many employers also encourage ongoing development through mentoring, training programs, and cross-departmental collaboration.

What jobs can you get with financial mathematics?

With a background in financial mathematics, common jobs include financial analyst, quantitative analyst, risk manager, actuary, and investment analyst. These roles often require strong skills in mathematics, statistics, and programming, and may involve working with financial models, data analysis, and forecasting in banking, insurance, or investment firms.

What can you do with a financial math degree?

A financial mathematics degree prepares individuals for roles such as financial analyst, risk manager, quantitative analyst, or actuary. These positions involve applying mathematical models, statistical techniques, and financial theories to analyze markets, assess risk, and support decision-making in finance and insurance industries. Proficiency in programming tools like Excel, R, or Python is often required, along with strong analytical skills.
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What cities are hiring for Financial Mathematics jobs? Cities with the most Financial Mathematics job openings:
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Financial Mathematics jobs near you
Infographic showing various Financial Mathematics job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $71,627 per year, or $34.4 per hour.
Engineering - Dallas - Associate, Quantitative Engineering - 033664

Engineering - Dallas - Associate, Quantitative Engineering - 033664

Goldman Sachs

Dallas, TX • On-site

Other

Posted 14 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks

Job description

Job Duties: Associate, Quantitative Engineering with Goldman Sachs & Co. LLC in Dallas, Texas. Multiple positions available. Develop, implement, and document scenarios comprised of a broad range of economic and financial variables for businesses within the Firm. Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables. Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming. Build and challenge risk models, identify and quantify vulnerabilities across market, credit, liquidity risk and modeling. Create and maintain clear and complete technical documentation of the risk-model performance testing approach and process.

Job Requirements: Master's degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, Data Science, Operations Research or related quantitative field and one (1) year of experience in job offered or a related quantitative engineering role OR Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, Data Science, Operations Research or related quantitative field and two (2) years of experience in job offered or a related quantitative engineering role. Prior experience must include one (1) year of experience (with a Master's degree) OR two (2) years of experience (with a Bachelor's degree) with 5 of the 7 following skills: C++, Java, or Python; developing probability and pricing models utilizing financial mathematics principles, including stochastic calculus, no-arbitrage pricing theory, partial differential equations, multivariable calculus, linear algebra, numerical methods, optimization, probability, or random processes; quantitative analysis and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; performing risk management or scenario-based analysis; developing quantitative risk analytics, including factor models; developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process; and statistics and data driven performance analysis, including Linear Regression or Time Series Analysis to measure performance.

The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

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About Goldman Sachs

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At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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