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Quantitative Research Associate Jobs in Seattle, WA

Research Associate

Seattle, WA ยท On-site

$81K - $95K/yr

Ability to conduct quantitative analyses and apply quality control criteria effectively. * A ... The compensation range for a Research Associate is $81,000 - $95,000, depending on experience.

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Quantitative Research Associate information

See Seattle, WA salary details

$35.3K

$103.1K

$166.2K

How much do quantitative research associate jobs pay per year?

As of Aug 22, 2026, the average yearly pay for quantitative research associate 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 research associate?

Quantitative Research Associates are professionals who use advanced mathematical, statistical, and computational techniques to analyze data and solve complex problems, often in finance, economics, or scientific research. They typically work with large datasets to develop models, identify trends, and inform decision-making processes. Their work is crucial in areas such as investment banking, asset management, and risk analysis, where data-driven insights can lead to better strategies and outcomes.

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

To excel as a Quantitative Research Associate, you need strong quantitative analysis skills, experience with statistical modeling, and a relevant degree in mathematics, statistics, economics, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with data analysis tools and financial databases are typically required. Exceptional problem-solving, attention to detail, and the ability to communicate complex findings clearly make candidates stand out. These skills are crucial for producing accurate research insights that drive effective decision-making and strategic planning.

What are the typical collaboration opportunities for a quantitative research associate within a financial institution?

Quantitative Research Associates frequently collaborate with portfolio managers, data scientists, and software engineers to develop and refine financial models and trading strategies. This cross-functional teamwork is essential for integrating new research insights into existing investment processes and ensuring that models are robust and actionable. Associates often participate in regular meetings to discuss research findings, share market insights, and troubleshoot model performance, fostering a dynamic and intellectually stimulating work environment. This collaborative structure also offers valuable exposure to different facets of the business, which can accelerate professional growth.

What is the difference between Quantitative Research Associate vs Quantitative Analyst?

AspectQuantitative Research AssociateQuantitative Analyst
Required CredentialsBachelor's degree in finance, economics, or related field; often pursuing or holding a master'sBachelor's or master's degree in finance, mathematics, or related field; certifications like CFA are common
Work EnvironmentResearch-focused, often in finance or investment firms, supporting trading or investment strategiesData analysis and modeling in finance, risk management, or trading departments
Employer & Industry UsageUsed in asset management, hedge funds, and investment banksCommon in hedge funds, investment banks, and financial institutions

While both roles involve quantitative analysis, a Quantitative Research Associate primarily focuses on developing and testing investment strategies through research, whereas a Quantitative Analyst emphasizes building models and analyzing data to inform trading and risk decisions. The roles often overlap but differ in their core focus and daily tasks.

Is quantitative research a good career?

Quantitative research is a valuable career for those interested in data analysis, statistical modeling, and financial or market research. It often requires strong skills in mathematics, programming, and statistical software, and can offer opportunities in finance, consulting, and technology sectors with competitive salaries and growth potential.

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

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

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

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

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

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

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

Senior Quantitative Research Analyst

Russell Investments

Seattle, WA โ€ข On-site

$120K - $140K/yr

Full-time

Medical, Retirement, PTO

Posted 9 days ago


Job description

Salary Range:$120,000 USD - $140,000 USD

Specific compensation will be based on candidate's experience, skills, qualifications,commercial considerations, and other job-related factors permitted by law. At RussellInvestments, salary is just one part of our compensation package. Our total rewardsapproach includes an annual performance bonus (subject to eligibility criteria) in addition toparticipation in our competitive benefits programs including healthcare, retirement, vacation,and wellbeing programs.


Job Description:

As a member of the Research & Development team, this position will direct and expand research across the Investment Division. Activities will include initiating, fostering, and collaborating on data-oriented research projects with other associates involved in investment research, manager research, portfolio construction and analysis, asset allocation and implementation. This position will oversee and create quantitative solutions and analysis in support of these research projects and oversee bringing these projects to fruition.

One of the key responsibilities for this role will be to support and develop our FX and futures overlay platform and research in addition to quantitative research projects across equity, fixed income, and private assets.

This position will provide material guidance to junior members of the team.

Your Core Responsibilities:

  • Conducting bespoke research projects on investment topics across all asset classes, strategies and security types, but especially FX and derivative research projects.

  • Portfolio construction research

  • Directing and conducting research using Python and SQL and various internal tools, databases, and systems.

  • Strong coding and data analytic skills.

  • Partnering with associates from around the Investment Division to bring research projects to completion

Your Expertise:

  • 3-5 years of relevant experience in areas such as FX strategy research, derivatives, equity or fixed income portfolio construction, factor research, strategy backtesting, optimizations, machine learning, and coding.

  • Master's degree or higher preferred - Finance, Math, Computer Science or Economics preferred

  • CFA, or progress towards, preferred.

  • Understanding of quantitative portfolio management.

  • Programming skills in Python and SQL preferred with knowledge of production coding techniques.

  • Strong verbal and written communication skills.

  • Ability to be an effective team member on projects working across the Investment Division (includes portfolio management, manager research, asset allocation and implementation).

  • Ability to work autonomously on a wide range of projects simultaneously while directing junior associates.

  • Proven ability to multi-task and work in a dynamic environment.

Equal Employment Opportunity

Russell Investmentsis committed to providing equal employment opportunities for all associates and employment applicants regardless of race, religion, ancestry, creed, color, gender (including gender identity which refers to a person's actual or perceived sex, and includes self-image, appearance, behavior or expression, whether or not different from that traditionally associated with a person's biological sex), age, national origin, citizenship status, disability, medical condition, military status, veteran status, marital status, sexual orientation, past or present unemployment status , or any other characteristic protected by law.