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Quantitative Research Associate Jobs (NOW HIRING)

Research Associate

Campus, IL · Hybrid

$29.12 - $31.20/hr

PERIL seeks a Research Associate supporting PERIL's research, evaluation, and programmatic ... and quantitative research activities. * Collect, organize, clean, and manage research data.

New

R&D Partners is seeking to hire a Research Associate II in Tucson, AZ . Your main responsibilities ... quantitative analyses. · Presents and discusses results of experiments within department and ...

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Quantitative Research Associate information

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$31K

$90.6K

$146K

How much do quantitative research associate jobs pay per year?

As of Aug 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 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.
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Infographic showing various Quantitative Research Associate job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

Quantitative Trading & Research - Commodities - Energy - Vice President

JPMorgan Chase & Co.

Manhattan, NY • On-site

$100 - $150/hr

Other

This job post has expired today. Applications are no longer accepted.


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description

Job Description

The Energy Quantitative Research team, part of the Quantitative Trading and Research organization, develops the valuation models, analytical tools, and risk infrastructure that underpins the global energy trading business. We partner closely with Trading, Structuring, Sales, and Technology to price complex products, manage risk, and accelerate commercial innovation.

Job Summary

As an Associate or Vice President in the Energy Quantitative Research team in New York or Houston, you will be supporting the global energy trading business, with an initial focus on North American power and gas.

Working closely with the trading desk as part of a front office-aligned quant team, you will use your advanced analytical skills and commercial mindset to help drive the growth of the business and the development of new products. You will have the opportunity to own high impact models end to end, from the initial research and design to the production implementation and ongoing enhancement.

Job Responsibilities
  • Develop pricing and risk models for vanilla and structured products, including model development, production implementation, testing, governance and documentation
  • Partner with Trading and Sales to develop new commercial opportunities
  • Develop analytical tools for use by front office teams (pricing, model calibration, strategy backtesting etc)
  • Provide quantitative analysis and support to front office teams and control functions
  • Lead projects, manage priorities and take responsibility for results, partnering with other teams to deliver on cross-functional projects
  • Provide technical support and guidance around the use of the models and tools developed by the team
Required Qualifications, Capabilities, and Skills
  • Advanced degree (master’s or PhD) in a quantitative field, or equivalent experience
  • Deep understanding of the mathematical and numerical techniques used in valuation models, including stochastic calculus, probability theory, optimization, Monte Carlo methods etc
  • Strong programming skills and knowledge of multiple languages (preferably including python and C++), with the ability to efficiently implement production quality models
  • Commercially focused with excellent communication skills, and an ability to understand and anticipate desk needs and translate them into tangible deliverables
Preferred Qualifications, Capabilities, and Skills
  • Familiarity with energy and commodities markets, and the financial and physical products traded
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