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Phd Quant Jobs in Renton, WA (NOW HIRING)

S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. * Programming in Python (or comparable language) and working ...

MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline * Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl * Strong ...

PhD with 3+ years, MS or MA with 6+ years, or BS or BA with 8+ years of data science or quantitative modeling experience. * 3-8+ years of experience with a focus on infrastructure, cloud environments ...

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Phd Quant information

See Renton, WA salary details

$110.2K

$190.9K

$291.9K

How much do phd quant jobs pay per year?

As of Aug 3, 2026, the average yearly pay for phd quant in Renton, WA is $190,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,300.00 and $223,800.00 per year, depending on experience, location, and employer.

Is a PhD necessary for quant?

A PhD is not strictly required to become a quant, but many quantitative analysts hold advanced degrees such as a PhD in fields like mathematics, physics, or finance. Having a PhD can provide a competitive edge, especially for roles involving complex modeling, research, or algorithm development, but relevant skills and experience are also highly valued.

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 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.

Does JP Morgan hire quants?

Yes, JP Morgan hires quantitative analysts, often called quants, for roles in risk management, trading, and financial modeling. These positions typically require strong skills in mathematics, programming, and data analysis, and often involve using tools like Python, C++, or MATLAB.

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.

Do quant firms hire PhDs?

Quant firms frequently hire PhDs, especially in fields like mathematics, physics, computer science, and engineering, to develop and implement quantitative trading strategies. These roles often require strong analytical skills, programming expertise in languages such as Python or C++, and a solid understanding of financial markets. PhDs are valued for their research experience and ability to handle complex data analysis.

How much do PhD quants make?

PhD quants typically earn between $150,000 and $300,000 annually, with compensation increasing based on experience, location, and the complexity of models used. Many also receive bonuses and profit-sharing, especially in hedge funds and investment banks. Advanced quantitative skills in programming and statistical analysis are highly valued in this field.

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.

What cities near Renton, WA are hiring for Phd Quant jobs? Cities near Renton, WA with the most Phd Quant job openings:
Infographic showing various Phd Quant job openings in Renton, WA as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $190,915 per year, or $91.8 per hour.

Cubist Quantitative Researcher

Point72

Seattle, WA โ€ข On-site

Other

Re-posted 27 days ago


Job description

ABOUT CUBIST

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

ROLE

Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.

RESPONSIBILITIES

  • Conduct original quantitative alpha signal research
  • Follow, digest and analyze the latest academic research
  • Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis
  • Build analytical tools to supplement our shared research frameworkย 

REQUIRMENTSย 

  • B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
  • Programming in Python (or comparable language) and working knowledge of SQL
  • Strong analytical and quantitative skills.
  • Willingness to take ownership of his/her work.
  • Ability to work both independently and collaboratively within a team.
  • Strong desire to deliver high quality results in a timely fashion.
  • Detail-oriented.
  • Prior experience in the financial services industry is not required.ย 
  • A commitment to the highest ethical standards.ย