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Phd Quant Trading Jobs (NOW HIRING)

Trading Interview

Blend quantitative signals with trading intuition and live market insights to optimize existing strategies or build new ones from the ground up * Risk Management. Oversee the deployment and real-time ...

Susquehanna

$8.6K/wk

Breadth: Explore all aspects of quant work and different areas of Susquehanna's business ... About Susquehanna Susquehanna is a global quantitative trading firm powered by scientific rigor ...

CFA Institute

Quantitative Trading Analyst

Boston, MA · On-site

THE TEAM The Trading Research & Analytics (TRA) team is the quantitative research and analytics ... Bachelor's degree required; master's or PhD in Statistics, Mathematics, Economics, Computer Science ...

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Phd Quant Trading information

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$98K

$169.7K

$259.5K

How much do phd quant trading jobs pay per year?

As of Sep 11, 2026, the average yearly pay for phd quant trading 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 is a PhD quant trader?

A PhD Quant Trader is a quantitative analyst with a doctoral degree, typically in fields like mathematics, physics, engineering, or computer science, who develops and implements complex trading strategies using mathematical models and statistical analysis. These professionals work for investment banks, hedge funds, or proprietary trading firms, leveraging their advanced analytical skills to identify profitable trading opportunities in financial markets. Their work often involves programming, data analysis, and researching new algorithms to gain a competitive edge. The combination of a PhD-level education and quantitative trading expertise allows them to tackle highly complex problems and contribute to the success of trading operations.

What are the key skills and qualifications needed to thrive as a PhD quant trader?

To thrive as a PhD Quantitative Trader, you need advanced quantitative and analytical skills, a strong background in mathematics, statistics, or physics, and typically a PhD in a quantitative discipline. Expertise in programming languages such as Python, C++, or R, along with familiarity with trading platforms and financial modeling tools, is essential. Critical thinking, problem-solving ability, and effective communication skills help you collaborate with teams and quickly adapt to changing markets. These skills and qualities are crucial for developing and executing profitable trading strategies in highly competitive and data-driven financial environments.

What kinds of collaboration can a PhD quant trader expect with other teams or departments?

As a PhD Quant Trader, you can expect frequent collaboration with software engineers, data scientists, and risk management professionals. Much of your work involves sharing quantitative models and insights with developers for implementation and discussing trading strategies with portfolio managers. Effective communication is crucial, as you'll often need to explain complex mathematical models to colleagues with different backgrounds. This cross-functional teamwork not only enhances trading performance but also provides opportunities to broaden your skill set and understanding of the business.

What is the difference between Phd Quant Trading vs Quant Analyst?

AspectPhd Quant TradingQuant Analyst
Required CredentialsPhD in Mathematics, Physics, or related fieldBachelor's or Master's in Finance, Math, or related field
Work EnvironmentResearch-driven, algorithm development, trading strategy implementationData analysis, model development, reporting
Employer & Industry UsageHedge funds, proprietary trading firms, investment banksAsset management firms, hedge funds, banks

Phd Quant Trading professionals typically hold advanced degrees and focus on developing and implementing trading algorithms, often working in research-heavy environments. Quant Analysts usually have bachelor's or master's degrees and focus on analyzing data and supporting trading strategies. Both roles are integral to quantitative finance but differ mainly in educational requirements and daily responsibilities.

What are popular job titles related to Phd Quant Trading jobs?

For Phd Quant Trading jobs, the most frequently searched job titles are:

Infographic showing various Phd Quant Trading job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quantitative Researcher (Full-Time - PhD+)

Amsterdam, NY

Radix Trading University Job Board
See more jobs at Radix Trading University Job Boardexternal

Full-time

Re-posted 4 days ago

Job description

Please only apply to one of our Job Postings. At the bottom of the application questions below you'll have the option to indicate if there are any other roles here at Radix that you might be interested in. Please do not submit multiple applications for different positions.  

As a Quantitative Researcher, your focus is on identifying trading opportunities, but you can add even more value with strong quantitative skills and some coding proficiency to accelerate the innovation process and help others leverage your work. 
By working on a variety of projects with different collaborators over the start of your career, you'll gain new knowledge and insight into the fundamentals of market dynamics, trading strategies, and our proprietary research platform. We believe in learning through impactful work, so while you learn the intricacies of our industry, you'll have plenty of opportunities to contribute and directly affect our bottom line within your first few weeks on the team.  
While interest in trading is key, a background in finance is definitely not. Our team is built mostly from academia - not from other trading firms. We seek mental diversity and add a select group of academics each year from a wide range of disciplines. 
COMPENSATION - Competitive salary, plus quarterly bonus based on individual performance and contribution towards success of others and the firm.
Qualifications
We're looking for highly analytical people (math, physics, computer science, statistics, electrical engineering, etc.) who want to help build the research-driven trading firm of the future. To do that, you'll need the following qualities:

  • Currently a PhD Student, Postdoc, Professor, or hold a similar advanced research position at a University
  • Persistent Drive to Improve - Do you have an innate desire to rise to the next level, even after great accomplishment?
  • Creative Problem Solving and Probabilistic Thinking - You must enjoy learning and implementing new concepts quickly, combining knowledge from different domains to create new ideas, and take a data-driven and probabilistic approach to testing and implementing new ideas.
  • Team Mindset - We want people who understand 1+1 > 2 and are as committed to making the team better through sharing ideas as they are driven to improve their individual performance.
  • Mental Flexibility & Self Awareness - You'll have to frequently adapt based on new data, results, and feedback on your trading ideas and your performance.
  • Orientation for Making Money - Although we value academic training, our work is not an academic exercise. We take a hacker's approach to testing ideas, dropping projects that consume time without high upside, and focusing our next efforts on what will create the most value for the firm.

Research / Quant trading strategy skills to have or develop

  • Strong intuition and deep thinking with data sets - Designs new alphas, understands complex systems; knows where to start, or ask others where to start
  • Demonstrates strong "hacking" ability to quickly get into data to look for empirical relationships and decipher noise or signal
  • Familiarity with classical statistical methods and knows when and how to apply them in a rigorous fashion; Easily learns how to apply new statistical methods; will seek out and learn new methods to better solve problem
    • Experience with modern AI techniques and methods or desire to work on Applied Machine Learning Problems a plus
  • Constantly questions finance/trading data and stays motivated to seek answers despite most often proving that there is no correlation or signal
  • Experience in setup of research framework and execution of projects
  • Understanding of financial products, market dynamics, and microstructure
  • Experience programming in Low-level computer languages (like C++); awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language 

Apply