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Quantitative Research Associate Jobs (NOW HIRING)

MFS

Quant Research Associate

Boston, MA · Hybrid

$10K/mo

Quantitative Research Associates participate in research projects aimed at the enhancement of quantitative research tools/systems, quantitative selection models, portfolio construction, and/or ...

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University of Utah

Research Associate

Salt Lake City, UT · On-site +1

$90K - $120K/yr

This position will work in close partnership with PEARL's Senior Quantitative Research Associate to design and produce research that is both interpretively rich and analytically robust. Alongside ...

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$31K

$90.6K

$146K

How much do quantitative research associate jobs pay per year?

As of Jun 17, 2026, the average yearly pay for quantitative research associate in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

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 are Quantitative Research Associates?

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 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.

What are the key skills and qualifications needed to thrive as a Quantitative Research Associate, and why are they important?

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.
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What cities are hiring for Quantitative Research Associate jobs? Cities with the most Quantitative Research Associate job openings:
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Quantitative Research Associate jobs near you
Infographic showing various Quantitative Research Associate job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 11% Full Time, 83% Part Time, 2% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.
Quantitative Research Associate

Quantitative Research Associate

Teacher Retirement System of Texas

Austin, TX • On-site

Other

Posted 20 days ago

Job description

The Quantitative Research team within the Quantitative Equity Group (QEG) conducts deep research with the goal of enhancing and innovating across the internal systematic investment platform within the Investment Management Division of TRS. The team is seeking a Quantitative Research Associate with strong research, programming, and finance fundamentals to contribute across the investment lifecycle-from research ideation and implementation to portfolio construction and investment-system infrastructure.
This role requires strong statistical foundations and advanced Python programming skills, with a demonstrated ability to deliver research in a production environment. Demonstrated interest or experience in quantitative and/or fundamental investment strategies is preferred. The successful candidate will partner with senior researchers, portfolio managers, and software engineers to enhance production investment systems, and to advance the firm's alpha, risk, and implementation frameworks.
This role offers an opportunity to have a direct impact on approximately 13 billion invested in QEG's quantitative equity beta-one active extension strategies, and more broadly on approximately 50 billion in investment exposure managed by QEG.
WHAT YOU WILL DO:
Research & Development
 Researches and develops enhancements to systematic investment processes across the pipeline, including alpha generation, signal construction/combination, risk modeling, portfolio optimization, transaction cost modeling, and implementation.
Builds Python-based tools and workflows to access, clean, and analyze data at scale.
Integrates machine learning (ML) algorithms and large language models (LLMs) into the quantitative investment process.
Presents research methods, results, and recommendations to senior researchers and leadership; addresses questions and defends conclusions with data analysis and mathematical formulation.
Partners with portfolio managers and software engineers to deliver end-to-end research and production improvements.
Portfolio Management
 Contributes to the team's Python-based research and production codebases.
Develops proficiency in the team's Python-based codebases, including its architecture, data  flows, and core investment logic.
Maintains, debugs, and enhances the codebases to support evolving investment and operational requirements.
Partners with software engineers to ensure production systems are robust, scalable, and transparent, with appropriate monitoring and controls.
Incorporates market and liquidity insights into portfolio implementation decisions and risk-aware adjustments.

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