ZipRecruiter

Log In

1

Phd Quant Jobs (NOW HIRING)

Quanta Search

Systematic Quant Researcher

New York, NY · On-site

MS or PhD in a quantitative field and/or scientific discipline such as Mathematics, Physics, Computer Science, Machine Learning, or Electrical Engineering from a top university * Experience working ...

Quanta Search

Systematic Quant Researcher

New York, NY · On-site

MS or PhD in a quantitative field and/or scientific discipline such as Mathematics, Physics, Computer Science, Machine Learning, or Electrical Engineering from a top university * Experience working ...

Nomura International

Quant Researcher

Manhattan, NY · On-site

$175K - $250K/yr

Advanced degree (PhD or Master's) in Mathematics, Statistics, Physics, Financial Engineering, Computer Science, or related quantitative field * 3-8 years of experience in quantitative research, risk ...

Nomura International

Quant Researcher

Manhattan, NY

$175K - $250K/yr

Advanced degree (PhD or Master's) in Mathematics, Statistics, Physics, Financial Engineering, Computer Science, or related quantitative field * 3-8 years of experience in quantitative research, risk ...

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 ... You hold a PhD degree in a hard science or mathematics. * You have a proven track record of ...

Vola Dynamics LLC

Quant Researcher

Manhattan, NY · On-site +1

We believe that this is one of the most exciting opportunities in quantitative finance right now ... You hold a PhD degree in a hard science or mathematics. * You have a proven track record of ...

next page

Showing results 1-20

People also search for

All JobsPhd Quant Jobs

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:
What job categories do people searching Phd Quant jobs look for? The top searched job categories for Phd Quant jobs are:
Phd Quant jobs near you

Quantitative Researcher (Full-Time - PhD+)

Radix Trading University Job Board

Amsterdam, NY

Other

Posted 25 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