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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 ...

Essilor

Manager Finance Analytics

Mason, OH

Bachelor's degree in Business, Analytics, Mathematics, Finance or related field * 5+ years of relevant experience in business, finance, statistical or data analysis * Ability to assimilate facts/data ...

EssilorLuxottica

Manager Finance Analytics

Mason, OH · On-site

Bachelor's degree in Business, Analytics, Mathematics, Finance or related field * 5+ years of relevant experience in business, finance, statistical or data analysis * Ability to assimilate facts/data ...

Amazon

Finance Manager, Amazon Devices

Seattle, WA · On-site

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 ...

Amazon

Finance Manager, AWS SMGS Ops

Seattle, WA · On-site

... 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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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.
Quant Researcher

Quant Researcher

Vola Dynamics LLC

New York, NY • On-site

$175K - $250K/yr

Full-time

Posted 29 days ago

Job description

Vola Dynamics is the world's most sophisticated software and research company for advanced options analytics. Our volatility fitter and ultra-fast option pricers are the market standard, powering decisions at the world's leading hedge funds, proprietary trading firms, market makers, and global banks.
In this role, you will research cutting-edge problems in volatility modeling and options valuation for both vanillas and exotics across all asset classes. You will implement your solutions in a modern C++ and Python library that is used by some of the most sophisticated market participants. As part of a rapidly growing team, your work will have an immediate and outsized impact.
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 record of academic or professional research that used numerical algorithms, advanced modeling, or computational methods to solve challenging problems similar to what one might find in mathematical finance, astrophysics, particle physics, or similar fields.
  • You have significant experience using modern C++ to perform large-scale computational calculations, ideally in a high-quality C++ library or framework.
  • You have significant experience using the scientific Python stack (Matplotlib, NumPy, Jupyter, etc) to analyze and visualize research outputs (e.g. real world data, simulations).
  • You are a confident communicator, both verbally and in writing, who can independently produce excellent written documentation and clearly present research to fellow colleagues.
  • You have experience with modern software engineering best practices: interface design, version control, unit testing, documentation.
  • You may have prior industry experience in options market making or derivatives modeling (5 years or less) but this is not required.
  • You are authorized to work in the US.

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