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Phd Quant Jobs in Renton, WA (NOW HIRING)

Stripe

Data Scientist, Core Infrastructure

Seattle, WA · On-site

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 ...

Twitch

Data Scientist

Seattle, WA · On-site

OR a PhD in Economics, Statistics, Computer Science, or related quantitative field * Proficiency in SQL * Proficiency with Python or R * Strong foundation in experimentation and causal inference ...

Meta

UX Researcher, Quantitative

Seattle, WA

$164K/yr

We use a variety of qualitative and quantitative methods to accomplish our goals, including surveys ... experience, or PhD and 8+ years relevant experience * Experience coding with R or Python

Meta

UX Researcher, Quantitative

Bellevue, WA · On-site

$164K/yr

We use a variety of qualitative and quantitative methods to accomplish our goals, including surveys ... experience, or PhD and 8+ years relevant experience * Experience coding with R or Python

Opendoor

Applied Scientist- Pricing

Seattle, WA · On-site

... or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline • Strong communication and collaboration skills -- you're ...

Meta

UX Researcher, Quantitative

Seattle, WA · On-site

$193K/yr

We use a variety of qualitative and quantitative methods to accomplish our goals, including surveys ... PhD and 8+ years relevant experience Preferred Qualifications: * Hands-on experience assessing ...

Meta

UX Researcher, Quantitative

Bellevue, WA

$193K/yr

We use a variety of qualitative and quantitative methods to accomplish our goals, including surveys ... PhD and 8+ years relevant experience Preferred Qualifications: * Hands-on experience assessing ...

Snapchat

Senior Data Scientist, Level 5

Seattle, WA · On-site

... of post-grad quantitative analysis and data science experience; or a PhD in a related technical field + 1+ years of post-grad quantitative analysis and data science experience Preferred ...

Opendoor

Applied Scientist- Pricing

Seattle, WA · On-site

$156K - $335K/yr

Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline * Strong communication and collaboration skills ...

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Showing results 21-40

All JobsPhd Quant JobsPhd Quant Jobs in Renton, WA

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 Sep 13, 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.

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 key skills and qualifications needed to thrive as a PhD Quant?

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 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.

Do quant firms hire PhDs?

Quant firms frequently hire PhDs, especially in fields like mathematics, physics, computer science, and engineering, to develop and implement complex trading algorithms and models. Candidates typically need strong quantitative skills, programming experience in languages such as Python or C++, and a solid understanding of financial markets. A PhD can provide a competitive edge in securing roles in quantitative research, trading, or risk management within these firms.

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 their quantitative models. Many also receive bonuses and profit-sharing, especially in finance and hedge fund environments where advanced statistical and programming skills are essential.

What are popular job titles related to Phd Quant jobs in Renton, WA?

For Phd Quant jobs in Renton, WA, the most frequently searched job titles are:

What cities near Renton, WA are hiring for Phd Quant jobs?

Cities near Renton, WA with the most Phd Quant job openings:

Phd Quant jobs near you
Infographic showing various Phd Quant job openings in Renton, WA as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $190,915 per year, or $91.8 per hour.

Data Scientist, Core Infrastructure

Seattle, WA

Stripe
Software Development • 1 - 5K employees
Learn more about Stripeexternal

Full-time

Re-posted 21 days ago

Job description

Who we areAbout Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

You'll be joining the data science team at Stripe responsible for our overall infrastructure, with a focus on core systems and cloud platforms. Projects include, but are not limited to:

  • Developing models to predict resource needs as Stripe demand increases;
  • Working closely with engineers to improve the cost and performance of platforms and services;
  • Employing quantitative methods to drive and automate fleet decisions.

You will act as a key strategic data partner to the Core Infrastructure organization at Stripe, and help craft, guide, and drive the strategy and tactics needed to help ensure Stripe can continue to scale with efficiency and dependability as our business rapidly grows.

What you'll do

As a Data Scientist, your role will involve:

  • Analyzing infrastructure usage, efficiency, and workloads to predict demand and inform capacity planning.
  • Developing models and strategies for efficient compute resource consumption and provisioning.
  • Collaborating with engineers, engineering leadership, and finance teams to ensure Stripe makes the right, data-driven, infrastructure decisions.
  • Providing actionable insights and recommendations to improve infrastructure operations to reduce costs and improve reliability.
  • Utilizing your analytical expertise to influence both technical and financial strategies within Stripe.
Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Location Requirement
  • Seattle, WA or San Francisco, CA (Hybrid: 50% in office)
Minimum requirements
  • 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, and resource utilization/allocation.
  • Proficiency in SQL and a computing language such as Python or R.
  • Experience in analyzing logs/telemetry, scheduling optimization, or cloud infrastructure engineering.
  • Ability to effectively work both independently and with cross-disciplinary teams, including engineering and finance, to deliver impactful results.
  • A demonstrated ability to manage and deliver on multiple projects with a high attention to detail.
  • Solid business acumen and experience in synthesizing complex analyses into actionable recommendations.
  • A track record of building relationships with and influencing the decisions of senior technical leadership.
  • A builder's mindset with a willingness to question assumptions and conventional wisdom.
Preferred qualifications
  • Background in deploying data models in production environments and optimizing their performance.
  • Experience in using, deploying on, and analyzing usage data from public cloud providers.
  • Familiarity with distributed computing tools such as Spark and Hadoop.
  • A PhD or MS in a quantitative field like Computer Science & Engineering, Statistics, Mathematics, Operations Research, Industrial Engineering, Management Science, or related disciplines.
  • Strong business acumen with a track record of translating complex data analyses into actionable business recommendations.

Apply