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Mathematical Finance Jobs (NOW HIRING)

Vola Dynamics LLC

Quant Researcher

New York, NY · On-site

$175K - $250K/yr

We believe that this is one of the most exciting opportunities in quantitative finance right now. Who You Are * You hold a PhD degree in a hard science or mathematics. * You have a proven track ...

Citigroup, Inc.

Quantitative Analyst - Rates XVA

New York, NY · On-site

$175K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Working at the intersection of advanced mathematics, high-performance software development, and financial markets, you will serve as a technical authority whose work has measurable impact across the ...

State Street

Product Management, AVP

Burlington, MA · On-site

Required : • Advanced degree in mathematical finance, business or engineering • Good understanding of front office financial products and trading venues across all asset classes • Excellent ...

Amazon

Finance Manager, Amazon Devices

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

BASIC QUALIFICATIONS - 5+ years of tax, finance or a related analytical field experience - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or ...

CAHEC MANAGEMENT INC

CPC Finance Analyst

Columbia, SC · On-site

Minimum Education Bachelor's degree in planning, math, finance, business, accounting, or economics or related field; or an equivalent combination of education and comparable work experience. Minimum ...

Goldman Sachs Bank AG

$180 - $280/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

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 ...

New

Alpaca

Securities Finance Trader

New York, NY · On-site +1

Bachelor's degree in Computer Science, Data Science, Mathematics, Finance, Economics or a related quantitative field. * 1-5 years of experience in a technical or trading role, ideally with some ...

Alpaca

Securities Finance Trader

Bachelor's degree in Computer Science, Data Science, Mathematics, Finance, Economics or a related quantitative field. * 1-5 years of experience in a technical or trading role, ideally with some ...

Amazon

Finance Manager, AWS SMGS Ops

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... mathematics, finance or equivalent quantitative field PREFERRED QUALIFICATIONS - 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an ...

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Showing results 21-40

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Mathematical Finance information

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How much do mathematical finance jobs pay per year?

As of Aug 17, 2026, the average yearly pay for mathematical finance in the United States is $70,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $77,000.00 per year, depending on experience, location, and employer.

What is mathematical finance?

Mathematical finance is a field that applies mathematical methods and models to solve problems in finance, such as pricing financial derivatives, managing risk, and optimizing investment strategies. It combines concepts from mathematics, statistics, finance, and economics to analyze financial markets and securities. Professionals in this field often use advanced quantitative techniques to develop pricing models, assess risk, and design complex financial products. Mathematical finance is essential in areas like investment banking, asset management, and risk management.

What are the key skills and qualifications needed to thrive as a mathematical finance professional?

To thrive in Mathematical Finance, you need a solid background in mathematics, statistics, finance, and typically a degree in a quantitative field such as mathematics, physics, or financial engineering. Proficiency with programming languages like Python, R, or MATLAB, and familiarity with financial modeling software and risk management systems, is highly valued. Strong analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly set top professionals apart. These skills are crucial for developing sophisticated financial models, managing risk, and making informed decisions in the fast-paced financial sector.

What are some common challenges faced by professionals working in mathematical finance, and how can they prepare to address them?

Professionals in mathematical finance often encounter challenges such as interpreting complex financial models, keeping up with rapidly evolving quantitative techniques, and ensuring regulatory compliance. They must also effectively communicate technical findings to non-technical stakeholders, which can be demanding. To address these challenges, it's important to stay current with industry trends, continuously develop programming and analytical skills, and build strong collaborative relationships within multidisciplinary teams. Regular training and participation in professional networks can also be valuable for ongoing growth.

What is the difference between Mathematical Finance vs Quantitative Analyst?

AspectMathematical FinanceQuantitative Analyst
Required CredentialsAdvanced degrees in mathematics, finance, or related fields; certifications like CFA or FRMSimilar credentials; often holds advanced degrees and certifications
Work EnvironmentFinancial institutions, hedge funds, investment banksFinancial firms, asset management companies, trading desks
Industry UsageFocuses on developing models for pricing, risk management, and investment strategiesApplies quantitative methods to analyze markets, develop trading algorithms, and optimize portfolios

Mathematical Finance and Quantitative Analysts share similar educational backgrounds and work environments. While Mathematical Finance emphasizes model development for pricing and risk, Quantitative Analysts focus on applying these models to market analysis and trading strategies. Both roles are integral to financial institutions and often overlap in skills and responsibilities.

What are mathematical finance jobs?

Mathematical finance jobs involve applying mathematical models and quantitative techniques to analyze financial markets, manage risk, and develop trading strategies. Common roles include quantitative analyst, risk manager, and financial engineer, often requiring skills in programming, statistics, and financial theory. These positions are typically found in banks, hedge funds, asset management firms, and financial technology companies.

What can I do with a mathematical finance degree?

A mathematical finance degree prepares individuals for roles such as quantitative analyst, risk manager, financial engineer, or trader in banking, investment firms, or hedge funds. It involves skills in mathematics, programming, and financial modeling, often requiring proficiency in tools like Excel, Python, or MATLAB. Graduates can also pursue certifications like CFA or FRM to enhance career prospects.

What jobs can you get with mathematical finance?

With a background in mathematical finance, common jobs include quantitative analyst, risk manager, financial engineer, derivatives trader, and portfolio manager. These roles typically require strong skills in mathematics, programming, and financial modeling, often using tools like Excel, Python, or MATLAB.
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What cities are hiring for Mathematical Finance jobs?

Cities with the most Mathematical Finance job openings:

What states have the most Mathematical Finance jobs?

States with the most job openings for Mathematical Finance jobs include:

What job categories do people searching Mathematical Finance jobs look for?

The top searched job categories for Mathematical Finance jobs are:

Mathematical Finance jobs near you
Infographic showing various Mathematical Finance job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $70,370 per year, or $33.8 per hour.

Asset & Wealth Management-Salt Lake City-Vice President, Quantitative Engineering-10412228

Goldman Sachs Group, Inc.

Salt Lake City, UT • On-site

$200 - $320/hr

Other

Posted 3 days ago

New

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

47th of 171 rated banks

Job description

Job Duties: Vice President, Quantitative Engineering with Goldman Sachs & Co. LLC in Salt Lake City, Utah. Lead the development, implementation, and documentation of 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.Mentor junior and mid-level team members.

Job Requirements: Master’s degree (U.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 offered or a related quantitative engineering role OR Bachelor’s degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Computational Finance, Applied Mathematics, or related quantitative field and five (5) years of experience in job offered or a related quantitative engineering role OR PhD degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Computational Finance, Applied Mathematics, or related quantitative field and one (1) year of experience in job offered or a related quantitative engineering role. Prior experience must include three (3) years of experience (with a Master’s degree) OR five (5) years of experience (with a Bachelor’s degree) OR one (1) year of experience (with a PhD degree) with 5 of the 8 following skills: C++, Java, or Python; performing financial mathematics, including at least one of the following: stochastic calculus, no-arbitrage pricing theory, multivariable calculus, linear algebra, probability theory, numerical methods, or Monte-Carlo techniques; performing analysis leveraging market risk, credit risk, liquidity risk, or mathematical finance concepts; object-oriented programming and scripting programming languages such as Python or Java; implementing mathematical models or analytics in production-quality software; working with database query languages, such as SQL, MongoDB, or other data management tools to process large datasets; applying algorithms or data structures to write complex programs; and developing pricing models for financial products to model risk, economics, and cash flows under normal and distressed market environments.

©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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