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Quantitative Trader Jobs in Seattle, WA (NOW HIRING)

You will be trained in all aspects of systematic trading from idea generation all the way to ... Conduct original quantitative alpha signal research * Follow, digest and analyze the latest ...

... systematic trading. JOB RESPONSIBILITIES * Pre-process (validate, clean, normalize, reduce ... MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative ...

About the Role The Derivatives Analyst and Trader will have various trading, analytical, and quantitative analysis responsibilities within the derivatives front office of the investment management ...

Banks, massive hedge funds, quantitative trading firms, and leading fintechs have a huge, rapidly growing demand for dedicated AI infrastructure to power algorithmic trading, risk modeling, deep ...

Establish quantitative linkage between feature KPIs (e.g., photo quality, video stabilization, ML ... Experience driving architecture-level trade-offs across image sensor technology (CMOS, BSI/stacked ...

They are seeking an Applied Scientist to tackle complex quantitative challenges related to pricing ... product trade-offs • Partner with Engineering, Product, and Operations to turn models into ...

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Quantitative Trader information

See Seattle, WA salary details

$35.3K

$103.1K

$166.2K

How much do quantitative trader jobs pay per year?

As of Aug 31, 2026, the average yearly pay for quantitative trader in Seattle, WA is $103,082.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,800.00 and $135,400.00 per year, depending on experience, location, and employer.

What is a quantitative trader?

A Quantitative Trader is a finance professional who uses mathematical models, statistical analysis, and algorithmic strategies to identify and execute trading opportunities. They work with large datasets to develop automated trading strategies that capitalize on market inefficiencies. Quantitative Traders often collaborate with developers and researchers to optimize their models and reduce risk. Positions are typically found at hedge funds, proprietary trading firms, and investment banks. Strong programming, analytical, and risk management skills are essential for success in this role.

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

To thrive as a Quantitative Trader, you need strong mathematical, analytical, and programming skills, typically supported by a degree in mathematics, finance, engineering, or computer science. Expertise with statistical software, programming languages such as Python or C++, and familiarity with automated trading systems or financial modeling tools is highly valuable. Exceptional problem-solving ability, attention to detail, and quick decision-making are crucial soft skills in this fast-paced role. These competencies enable traders to develop data-driven strategies, manage risk effectively, and adapt rapidly to market changes for consistent profitability.

What are some common challenges quantitative traders face in their day-to-day work?

Quantitative Traders often encounter rapidly changing market conditions that require swift analytical decisions and the ability to adjust strategies on short notice. They work with large sets of financial data, which demands both technical expertise to interpret trends and creativity to develop effective trading algorithms. Collaboration with developers, researchers, and other traders is frequent to refine models and address technological or strategic challenges. Adapting to evolving regulatory requirements and managing risk exposure are also key parts of the role. Successfully navigating these challenges is essential for maximizing trading performance and maintaining a competitive edge.

What does a quantitative trader do?

A quantitative trader develops and implements trading strategies using mathematical models, statistical analysis, and programming skills. They analyze large data sets to identify trading opportunities and often use tools like Python, R, or MATLAB to automate trades and manage risk in financial markets.

What are the most commonly searched types of Quantitative Trader jobs in Seattle, WA?

The most popular types of Quantitative Trader jobs in Seattle, WA are:

What are popular job titles related to Quantitative Trader jobs in Seattle, WA?

For Quantitative Trader jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Quantitative Trader jobs in Seattle, WA look for?

The top searched job categories for Quantitative Trader jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Quantitative Trader jobs?

Cities near Seattle, WA with the most Quantitative Trader job openings:

Infographic showing various Quantitative Trader job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $103,082 per year, or $49.6 per hour.

Cubist Quantitative Researcher

Seattle, WA • On-site

Point72
Finance and Insurance • 501 - 1,000 employees

Full-time

Re-posted 25 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 framework 

REQUIRMENTS 

  • 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. 
  • A commitment to the highest ethical standards.