1

Mathematical Finance Jobs (NOW HIRING)

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 ...

FP&A Manager

Scottsdale, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Model Validation Analyst II

San Antonio, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Model Validation Analyst II

San Antonio, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Systematic Quantitative Analyst

New York, NY · On-site

$275K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hardware acceleration, advanced calculus, performance-oriented programming languages, object-oriented software design, Python, kdb, SQL, mathematical finance/ programming, and statistics ...

AVP, Quantitative Risk Analyst

Manhattan, NY · Hybrid

$140K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in Financial Engineering, Mathematical Finance, Mathematics or a related major * 5+ years of relevant work experience in financial services risk management (preferably life ...

AVP, Quantitative Risk Analyst

New York, NY · Hybrid

$140K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in Financial Engineering, Mathematical Finance, Mathematics or a related major * 5+ years of relevant work experience in financial services risk management (preferably life ...

AVP, Quantitative Risk Analyst

Manhattan, NY · On-site

$140K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in Financial Engineering, Mathematical Finance, Mathematics or a related major * 5+ years of relevant work experience in financial services risk management (preferably life ...

next page

Showing results 1-20

Mathematical Finance information

See salary details

$30.5K

$70.4K

$138K

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 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 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 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 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 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 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 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.
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:

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.

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

Carnegie Mellon University

Pittsburgh, PA • On-site

$47K - $64K/yr

Full-time

Re-posted 2 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

67th of 618 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.

What Carnegie Mellon University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom