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Phd Quant Trading Jobs (NOW HIRING)

Akuna Capital

Quant Strategist

Chicago, IL · On-site

$145K/yr

Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge ... Bachelor's, Master's, or PhD degree in a technical field, such as Engineering, Computer Science ...

Tower Research Capital

$120K - $200K/yr

A Bachelors, Masters or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree * Experience in quantitative trading is preferred but not a requirement * A strong background ...

Virtu Financial

Quantitative Strategist (PhD)

Austin, TX · 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 ...

Akuna Capital

Quant Strategist

Chicago, IL

$145K/yr

Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge ... Bachelor's, Master's, or PhD degree in a technical field, such as Engineering, 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 Jun 8, 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 are the key skills and qualifications needed to thrive as a PhD Quantitative Trader, and why are they important?

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 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 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 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.
Infographic showing various Phd Quant Trading job openings in the United States as of May 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quantitative Analyst for a global Asset Management Firm (New York, NY)

Quanta Search

Manhattan, NY • On-site

Full-time

Posted 23 days ago

Job description

Our client, a global Asset Management firm, is looking for a Quantitative Analyst.
Role/Responsibilities :
  • Research and develop execution algorithms for US and global equities in support of quantitative research and trading
  • Enhance and aid in the support of in-house quantitative algorithmic platform used by both discretionary and quantitative traders
  • Develop pre-trade transaction cost estimation models and help drive strategy on improvements
  • Contribute in the development of firm wide transaction costs measurement
  • Build and maintain market data and transaction databases for research and analysis
  • Stay current and report on changes in market microstructure
Requirements:
  • Masters or PhD in Mathematics, Financial Engineering, Statistics, or other quantitative discipline
  • Outstanding financial engineering and statistical modeling skills
  • 3-5 years of hands-on experience at a financial institution, building models for quantitative trading strategies or algorithmic trading
  • Experience with Python, C++ and SQL
  • Experience with KDB and Linux are a plus
  • Experience working with large datasets
  • Comprehensive knowledge of US equity market microstructure
  • Knowledge of international equity markets and non-equity markets are a plus
  • Sense of ownership of his/her work, working well both independently and within a small collaborative team.

Thank you for illuminating hiring with Quanta Search!
www.quantasearch.com

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