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Phd Math Finance Jobs (NOW HIRING)

Transamerica

Manager, Modeling (Hybrid)

Philadelphia, PA · On-site

$136K - $165K/yr

Advanced degree (MSc/PhD) in a quantitative field * Asset/derivatives modeling experience * Math/Finance background * Good programming skills (C++/Python) Working Conditions: * Hybrid office ...

Virtu Financial

Quantitative Strategist (PhD)

Austin, TX · On-site

$175K - $200K/yr

PhD in Science, Math, Engineering or other quantitative or STEM programs. * No previous Quant Finance or specific asset class experience required. * History of diverse, challenging, and interesting ...

Virtu Financial

$175K - $200K/yr

PhD in Science, Math, Engineering or other quantitative or STEM programs. * No previous Quant Finance or specific asset class experience required. * History of diverse, challenging, and interesting ...

Aegon

Manager, Modeling (Hybrid)

Cedar Rapids, IA · Hybrid

$136K - $165K/yr

Advanceddegree(MSc\PhD)ina quantitative field * Asset/derivatives modeling experience * Math/Finance background * Good programming skills (C++/Python) Working Conditions: * Hybrid office environment ...

Aegon

Manager, Modeling (Hybrid)

Philadelphia, PA · Hybrid

$136K - $165K/yr

Advanceddegree(MSc\PhD)ina quantitative field * Asset/derivatives modeling experience * Math/Finance background * Good programming skills (C++/Python) Working Conditions: * Hybrid office environment ...

Aegon

Manager, Modeling (Hybrid)

Baltimore, MD · Hybrid

$136K - $165K/yr

Advanceddegree(MSc\PhD)ina quantitative field * Asset/derivatives modeling experience * Math/Finance background * Good programming skills (C++/Python) Working Conditions: * Hybrid office environment ...

City University of New York

$136K - $160K/yr

QUALIFICATIONS The candidate must have a PhD in mathematics, applied mathematics, physics, or a related field. At least ten years of experience in the financial sector, a strong publication record in ...

New

Jump Trading

We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific ... global financial markets. Our culture is unique. Constant innovation requires fearlessness ...

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Phd Math Finance information

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How much do phd math finance jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for phd math finance in the United States is $25.44, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $29.09 per hour, depending on experience, location, and employer.

What is a PhD in math finance?

A PhD in Math Finance is a doctoral degree focused on the application of advanced mathematical methods to solve complex problems in finance. Students in this program study topics such as stochastic calculus, financial modeling, quantitative risk management, and derivative pricing. The degree prepares graduates for research, academic careers, or high-level quantitative roles in the finance industry, such as quantitative analyst or risk manager. It typically involves original research culminating in a dissertation.

What types of projects or research topics do PhD math finance professionals typically work on within the industry?

PhD Math Finance professionals are often involved in developing quantitative models for pricing complex financial instruments, managing risk, and optimizing investment strategies. Their work may include statistical analysis of market data, stochastic modeling, and algorithmic trading system development. Collaboration with traders, risk managers, and software engineers is common to ensure models are both theoretically sound and practically implementable. These roles offer opportunities to contribute to cutting-edge research while solving real-world financial challenges, and can provide a pathway to leadership positions in quantitative research or risk management.

What are the key skills and qualifications needed to thrive as a PhD in mathematical finance, and why are they important?

To thrive as a PhD in Mathematical Finance, you need advanced quantitative skills, expertise in stochastic calculus and financial modeling, and a doctoral degree in a related field. Proficiency with programming languages like Python, R, or MATLAB, and familiarity with financial databases and risk management systems, are typically required. Strong analytical thinking, problem-solving ability, and effective communication skills set top candidates apart. These skills enable professionals to develop complex models, interpret financial data, and communicate insights to drive decision-making in finance.

What is the difference between Phd Math Finance vs Quantitative Analyst?

AspectPhd Math FinanceQuantitative Analyst
Required CredentialsPhD in Mathematics, Finance, or related fieldBachelor's or Master's in Math, Finance, or related field; sometimes PhD
Work EnvironmentResearch-focused, academic or industry R&DFinancial firms, trading desks, hedge funds
Employer & Industry UsageUniversities, financial institutions, hedge fundsInvestment banks, hedge funds, asset management firms
Common Search & Comparison IntentUnderstanding advanced roles in finance researchPractical financial modeling and trading strategies

While both roles require strong quantitative skills, a Phd Math Finance typically involves research, developing new models, and academic work, whereas a Quantitative Analyst focuses on applying models to trading, risk management, and investment decisions in financial firms.

What are popular job titles related to Phd Math Finance jobs?

For Phd Math Finance jobs, the most frequently searched job titles are:

Infographic showing various Phd Math Finance job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $52,911 per year, or $25.4 per hour.

Quant Developer/Market Maker - Cryptocurrency - Start-Up

Manhattan, NY • On-site

Equation Staffing
See more jobs at Equation Staffingexternal

Full-time

Re-posted 21 days ago

Job description

Quant Developer/Market Maker


The Company -
Our client is a small trading shop, whose founders have an extremely successful track records in all prior ventures in high Frequency trading.  The core consists of small group of educated PhD scientists who came together to build trading models in multiple asset classes over the last decade.   They were first challenged to finding non-random behavior in data sets as they tackled the FX market with new algorithmic trading and quickly separated themselves from everyone else in the market.   That company was bought by a world leader in capital markets, and they moved into equities, and were successful as a prop trading shop for over 6 years, and was eventually bought as well.  They are now onto their next venture they are looking to tackle the cryptocurrency market.  As a trusted asset to every large financial trading desk through the years, institutions have expressed great interest in trading with them, and the firm provides crypto asset execution, trading, and advisory services to institutional clients, as well as making markets on various exchanges, as well as providing customized algorithms to split up trades.  They are looking for a Quant Developer (Quant/Market maker) to join this team, and head up building the market making product. This person does not need crypto experience, but needs to understand the technical backbone of market making systems, market microstructure and the technical needs for setting up and monitoring strategies. 

 
All systems are built from scratch and brand new. The competitive advantage is the model and brilliant combination of quantitative minds. They build their systems to be smarter, highly risk averse, rigorously tested and with a strict scientific approach to modeling.


The Role –
Starting as an Senior Quant Developer/Market Maker you will get a chance to get in on the ground floor in a low key environment and let data drive your decisions. This opportunity is for a top notch engineer with strong quantitative skills,  to take a pragmatic approach and enjoy the flexibility of building something, in an environment where there is no red tape, or barriers to your creativity. It is a great  opportunity for a Quant who wants to leverage technical/math skills to learn more about, and get into trading.  Ideas for strategies are encouraged, and team will help you test and implement them.

This is an opportunity for you to work with elite minds as well as trade ideas, grow in knowledge and gain exponential earnings potential. The overall climate is for everyone to make money and go home satisfied. Flexible hours and telecommuting is offered.


Qualifications
¬ Experience working with high performance trading systems, specifically market making systems. 

¬ FX is preferred over equity, because it translates better to the crypto-market.
¬ Strong Java/C# Programming
¬ Ability to develop systematic models from a mathematical approach
¬ Strong Math/Quantitative Skills and experience with Large Data Sets

¬ Top Tier Education – Masters or PhD (Math, Science, Computer Science, Engineering, Computational Finance) 

Skills and abilities you will be finely rewarded, compensation greatly depends on experience, equity and salary will be based on value.