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Mathematical Finance Jobs (NOW HIRING)

Aflac

Quantitative Analyst (Multiple Openings)

Manhattan, NY · On-site

$112.78K - $155K/yr

Must have a Bachelor's in Financial Engineering, Mathematical Finance, Mathematics, or similar quantitative discipline with at least 2 years of experience in quantitative analyst positions. * In the ...

Pinnacle Fertility Inc.

FP&A Manager

Scottsdale, AZ

Masters of Science in Mathematical Finance & Financial Technology or Financial Engineering. (preferred) * Experience * 4-5 years of experience in finance and/or accounting. * Skills: * Familiarity ...

Pinnacle Fertility

FP&A Manager

Scottsdale, AZ · On-site

Masters of Science in Mathematical Finance & Financial Technology or Financial Engineering. (preferred) * Experience * 4-5 years of experience in finance and/or accounting. * Skills: * Familiarity ...

Frost Bank

Model Validation Analyst II

San Antonio, TX · On-site

Master's degree in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, Physics, Management Science, Operations Research, or Economics * 2+ years of experience in the ...

Numerix

Quantitative Analyst

New York, NY · On-site

$96.37K - $100K/yr

Bachelor's degree or its foreign equivalent in Financial Engineering, Mathematical Finance or Mathematics and 1 year of experience in the job offered or as Fixed Income Portfolio Manager, Financial ...

Uw

Finance Analyst - Mathematical Sciences

Seattle, WA · On-site

$85.80K/yr

Reporting to the Director of Planning and Budgeting, the Finance Analyst will directly impact the success of our Mathematical Sciences units while developing expertise in cutting-edge financial ...

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How much do mathematical finance jobs pay per year?

As of May 31, 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 are the key skills and qualifications needed to thrive as a Mathematical Finance professional, and why are they important?

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 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 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.

More about Mathematical Finance jobs
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 May 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 81% Physical, and 19% Remote job distribution, with an average salary of $70,370 per year, or $33.8 per hour.

Postdoc Position in Mathematical Finance and Stochastic Analysis (AY26/27)

Carnegie Mellon University

Pittsburgh, PA • On-site

$47.60K - $64.60K/yr

Full-time

Posted 14 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

49th of 530 rated colleges and universities

Job description

Description
The Department of Mathematical Sciences invites applications for a two- or three-year postdoctoral position in stochastic analysis, with a preference for mathematical finance, beginning in September 2026.
Qualifications
A Ph.D. in mathematics or closely related disciplines is required. Prefence will be given to candidates who have shown outstanding promise and/or excellent accomplishments in research.
Application Instructions
Applicants should submit all materials electronically through Interfolio and MathJobs. This includes a cover letter, curriculum vitae, list of publications, and a statement describing current and planned research. At least three letters of recommendation, one of which addresses teaching, should be submitted through MathJobs.
For full consideration, applications should be submitted by December 31, 2025.

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