ZipRecruiter

Log In

1

Phd Math Finance Jobs (NOW HIRING)

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

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 ...

next page

Showing results 1-20

All JobsPhd Math Finance Jobs

Phd Math Finance information

See salary details

$10

$25

$59

How much do phd math finance jobs pay per hour?

As of Jun 19, 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 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 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 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.

Infographic showing various Phd Math Finance job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $52,911 per year, or $25.4 per hour.

Quantitative Analyst - Legal & Financial Structures

Sterlington, PLLC

Philadelphia, PA • On-site, Remote

Other

Medical, Dental, Vision, Retirement

Posted 18 days ago

Job description

Reports to: Head of Corporate/M&A Practice 
Department: Corporate/M&A 
Location: 100% Remote 
Working Hours: Eastern Standard Time (EST) 

Our Firm 

Sterlington PLLC is a full-service law firm focusing on complex corporate, litigation, executive compensation, and private wealth matters. As a firm, we focus on the economic as well as the legal aspects of our matters. 

Among other strengths, Sterlington is the ultimate law firm for founders, senior executives, and UHNWIs as well as their related businesses. 

Learn more at: www.sterlingtonlaw.com 

The Opportunity 

Sterlington not only documents deals, we cut deals for clients. As part of that, we play something close to a financial / banker role in analyzing deal structures and executive compensation arrangements. We are looking for someone who can help us model and understand transactions and executive compensation arrangements from a numerical perspective. Our philosophy is that we need people trained to think logically and systematically, and equipped to operate with modern analysis tools (high expertise in AI modeling and Excel). 

This role sits at the intersection of math, finance, law, and business, and is designed for someone who is intellectually rigorous and genuinely enjoys untangling complexity. You will work directly with the head of the corporate / M&A practice, and senior partners in those practices. 

This is a rare opportunity for a mathematically and financially disciplined thinker who combines first-principles reasoning with AI fluency, applying both to high-stakes, real-world situations alongside individuals operating at the highest levels of decision-making. 

What You'll Do 

  • Integrate AI-assisted workflows into your day-to-day work to enhance speed, depth, and accuracy of analysis
  • Analyze and model complex business, executive compensation, structure and financial arrangements to extract underlying economic logic and value drivers
  • Map ownership, incentive, and value-distribution structures across multiple scenarios 
  • Stress-test assumptions and identify points of economic sensitivity and hidden risk
  • Build and refine analytical models and frameworks used on live client matters
  • Contribute to the evolution of AI-enabled analytical practices within the firm 

What Success Looks Like 

  • Your analysis directly informs structuring decisions, negotiations, and risk assessment
  • You demonstrate strong judgment in separating signal from noise in dense materials
  • You effectively integrate AI into your workflow, using it to enhance - not replace - your reasoning 

What We're Looking For 

  • PhD or Master's degree in Mathematics, Applied Mathematics, finance, or a closely related quantitative field
  • Expertise in using AI tools in a professional context to model and analyze data
  • Comfortable operating independently in a remote, high-performance environment
  • Strong judgment
  • Prior experience in law is not required. 

Full-time employees are eligible for enrollment in our Medical, Dental, and Vision insurance plans, as well as our 401(k)-retirement program. 

Sterlington uses E-Verify to confirm employees' work authorization. 

At Sterlington, we believe that world-class talent has no boundaries. We are committed to fostering a diverse and inclusive environment where unique perspectives are valued and every individual has the opportunity to thrive. We encourage all qualified candidates to apply.  

Apply