1

Phd Quant Jobs (NOW HIRING)

Prestigious financial firm is seeking a PhD Quant to join their research team. This is an opportunity to work closely with traders in the development, testing, and implementation of models and ...

Quantitative Strategist (PhD)

New York, NY · On-site

$175K - $200K/yr

THE ROLE As a Quant at Virtu, you will be working on interdisciplinary teams alongside traders ... PhD in Science, Math, Engineering or other quantitative or STEM programs. * No previous Quant ...

A PhD degree would be useful, but is not a necessary condition. * The candidate must be very ... Provide quantitative support and expertise to portfolio managers Additional Information The ...

Quant

Chicago, IL · On-site

$150K - $250K/yr

The Quant will have the opportunity to work in one of our offices focusing on expanding and ... A Bachelor's, Master's, or PhD degree with an emphasis in Computer Science or a STEM related field ...

A PhD degree would be useful, but is not a necessary condition. * The candidate must be very ... Provide quantitative support and expertise to portfolio managers Additional Information The ...

PhD or exceptional Masters / Bachelors qualification in a quantitative subject * Expertise in Python and Linux environments * Comfortable proficiency in C++, Java, or another low-level language

Quant

Chicago, IL

$150K - $250K/yr

The Quant will have the opportunity to work in one of our offices focusing on expanding and ... A Bachelor's, Master's, or PhD degree with an emphasis in Computer Science or a STEM related field ...

next page

Showing results 1-20

Phd Quant information

See salary details

$98K

$169.7K

$259.5K

How much do phd quant jobs pay per year?

As of May 31, 2026, the average yearly pay for phd quant in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

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

To thrive as a PhD Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a PhD in a quantitative field such as mathematics, physics, finance, or engineering. Expertise in technical tools such as Python, C++, R, and experience with statistical modeling systems and quantitative finance libraries is expected. Analytical thinking, problem-solving abilities, and effective communication are standout soft skills in this role. These skills and qualities are crucial for developing complex models, interpreting data accurately, and collaborating across multidisciplinary teams in high-stakes financial environments.

What are the typical collaboration dynamics for a PhD Quant within a financial institution?

PhD Quants frequently work in close collaboration with traders, risk managers, and software engineers to develop and implement quantitative models for pricing, risk assessment, and trading strategies. While a significant portion of the work involves independent research and model development, regular meetings and cross-functional teamwork are essential to ensure models align with business objectives and regulatory requirements. Effective communication skills are important, as PhD Quants often need to explain complex mathematical concepts to colleagues with varying technical backgrounds.

What is a PhD Quant?

A PhD Quant, short for Quantitative Analyst with a PhD, is a professional who uses advanced mathematical, statistical, and computational techniques to analyze financial markets and develop complex models for trading, risk management, or investment strategies. They typically work in banks, hedge funds, or financial technology firms. PhD Quants leverage their deep expertise in fields like mathematics, physics, computer science, or engineering to solve challenging problems and gain insights that drive financial decision-making. Their work often involves programming, data analysis, and the implementation of quantitative models.

What is the difference between Phd Quant vs Quant Analyst?

AspectPhd QuantQuant Analyst
Required CredentialsPhD in Mathematics, Statistics, or related fieldBachelor's or Master's degree, often with quantitative skills
Work EnvironmentResearch-focused, often in finance or hedge fundsTrading floors, financial institutions, or asset management firms
Industry UsagePrimarily in hedge funds, investment banks, and proprietary tradingIn asset management, hedge funds, and banks

The main difference between a Phd Quant and a Quant Analyst lies in their educational background and focus. Phd Quants typically hold doctoral degrees and focus on developing complex models and research, while Quant Analysts often have master's or bachelor's degrees and focus on applying models to trading strategies. Both roles are integral to quantitative finance but differ in scope and depth of research.

More about Phd Quant jobs
What cities are hiring for Phd Quant jobs? Cities with the most Phd Quant job openings:
What states have the most Phd Quant jobs? States with the most job openings for Phd Quant jobs include:

Equity Derivatives Quant

Quanta Search

Manhattan, NY

Other

Posted 4 days ago


Job description

Prestigious financial firm is seeking a PhD Quant to join their research team. This is an opportunity to work closely with traders in the development, testing, and implementation of models and trading tools. This position requires a PhD in a quantitative discipline and 3-7 years work experience with a investment bank or hedge fund involving analysis of equity derivatives.

Requires programming skills (e.g. C++, Python). Must have excellent written and verbal communication skills

This position offers competitive compensation and an opportunity for career advancement.
NB: PhD in Computer Science is preferred, hands-on C++experience is a MUST.