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Quantitative Trading Research Analyst Jobs (NOW HIRING)

JPMorgan Chase & Co.

... Quantitative Trading (QT) team, within the JPMorgan Quantitative Trading and Research (QTR ... You will be involved in comprehensive analytics, models, and tools used in various trading ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

... Analyze trading scenarios, pricing behavior, and risk tradeoffs. - Build small research tools for ... of quantitative trading strategies. - Make fast, data-informed trading decisions while managing ...

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Quantitative Trading Research Analyst information

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$56.5K

$133.9K

$240K

How much do quantitative trading research analyst jobs pay per year?

As of Sep 11, 2026, the average yearly pay for quantitative trading research analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What does a quantitative trading research analyst do?

A Quantitative Trading Research Analyst applies mathematical, statistical, and programming skills to develop and improve trading strategies for financial markets. They analyze large datasets to identify patterns, develop predictive models, and backtest strategies to assess their effectiveness. These analysts often collaborate with traders and software engineers to implement their models in real trading environments, aiming to optimize returns and manage risk.

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

To thrive as a Quantitative Trading Research Analyst, you need a strong background in mathematics, statistics, and financial theory, often supported by advanced degrees in quantitative fields. Proficiency with programming languages like Python, R, or C++, as well as experience using data analysis platforms and statistical modeling tools, is typically required. Exceptional problem-solving abilities, critical thinking, and effective communication skills help analysts collaborate and present complex findings clearly. These skills enable the development of robust trading strategies and ensure data-driven decision-making in a highly competitive financial environment.

What are some common challenges faced by quantitative trading research analysts when developing and implementing trading strategies?

Quantitative Trading Research Analysts often encounter challenges such as ensuring data quality, adapting strategies to rapidly changing market conditions, and managing model overfitting. Collaborating closely with traders and software engineers, they must rigorously backtest strategies while accounting for transaction costs and market impact. Staying up-to-date with the latest quantitative techniques and technological advancements is also crucial to remain competitive in this fast-paced field.

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

AspectQuantitative Trading Research AnalystQuantitative Trading Analyst
Primary FocusDeveloping and testing trading models and strategiesExecuting trades and managing existing strategies
Required SkillsStrong quantitative, programming, and research skillsQuantitative skills with emphasis on trade execution and monitoring
Work EnvironmentResearch labs, quantitative teams, data analysisTrading floors, brokerage firms, hedge funds
Common CertificationsQuantitative finance certifications (CQF, CFA)Same as Research Analyst, often with trading licenses

While both roles require strong quantitative skills and familiarity with financial markets, the Quantitative Trading Research Analyst primarily focuses on developing and testing new trading models, whereas the Quantitative Trading Analyst is more involved in executing trades and managing existing strategies. The Research Analyst role is more research-oriented, often working in labs or data analysis environments, while the Trading Analyst works directly on trading floors or brokerage settings.

What are popular job titles related to Quantitative Trading Research Analyst jobs?

For Quantitative Trading Research Analyst jobs, the most frequently searched job titles are:

Infographic showing various Quantitative Trading Research Analyst job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Quantitative Trading & Research - e-Trading - Executive Director

Manhattan, NY • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

$200K - $350K/yr

Full-time

Medical, Retirement

Re-posted 7 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

Job description


The Quantitative Trading & Research (QTR) eTrading team designs and delivers quantitative analytics, models, and tools that improve electronic execution outcomes for clients globally.
Job Summary
As an Executive Director in QTR eTrading, you will be aligned closely with product team, you will lead execution research and transaction cost analysis (TCA) that directly informs the electronic trading product roadmap for both single-stock and portfolio trading. You will partner with Electronic Client Solutions, Coverage, and Technology to translate research into scalable, measurable platform enhancements and client solutions.
Job Responsibilities
Product strategy & roadmap influence
  • Partner with Electronic Client Solutions to define and prioritize the algorithm roadmap using data-driven insights, client needs, competitive context, and measurable outcomes.
  • Develop a clear product analytics narrative (KPIs, benchmarks, adoption/usage, performance attribution) to support senior decision-making and investment cases.
  • Translate client requirements into quantitative problem statements and implementable product specifications.

Execution measurement & TCA leadership
  • Build, enhance, and govern TCA frameworks (benchmarks, market impact curves, peer/venue comparisons) calibrated on historical order, execution, and market data.
  • Diagnose execution performance drivers (order size/urgency, liquidity, volatility, venue choice, algo selection, time-of-day effects) and convert findings into product recommendations.
  • Establish monitoring, alerting, and post-release performance measurement for algorithm changes and new features.

Research, experimentation & model development
  • Conduct market microstructure research (venue structure, auctions, fee schedules, order types, dark vs. lit dynamics) and quantify the impact on execution outcomes and product design.
  • Design and run empirical studies and controlled experiments (A/B tests) to evaluate routing, scheduling, and parameter changes; define success metrics and ensure robust statistical conclusions.
  • Contribute to pre-trade and post-trade models that support strategy selection and parameterization, including regime-aware analysis where relevant.

Cross-functional delivery & stakeholder management
  • Collaborate with Technology and Algo Development to industrialize research into production-ready capabilities, including documentation, controls, and model/feature governance.
  • Create client-facing content (methodology papers, execution strategy notes, performance reviews) and support client and internal stakeholder discussions with clear, defensible analytics.

Required Qualifications, Capabilities, and Skills
  • Master's degree in a STEM field (Computer Science, Engineering, Mathematics/Statistics, Physics) or equivalent practical experience.
  • 8+ years of relevant experience in quantitative execution research, TCA, algorithmic trading, or closely related electronic trading analytics roles.
  • Demonstrated expertise in TCA modeling and execution quality measurement relevant to algorithmic execution strategies.
  • Strong programming skills in kdb+/q and Python, with experience working with large-scale trading and market datasets.
  • Proven ability to partner effectively with Product, Trading, and Technology to move from research findings to shipped capabilities and measurable performance improvements.
  • Strong analytical, quantitative, and problem-solving skills, with excellent written and verbal communication.

Preferred Qualifications, Capabilities, and Skills
  • PhD in a STEM field or a strong independent research track record.
  • 10+ years of relevant experience.
  • Experience with stochastic control and/or numerical optimization techniques applied to single-stock and/or portfolio execution.
  • Experience with AWS and/or modern data processing technologies used for research-to-production workflows.
  • Deep knowledge of cash equities market structure and microstructure across major regions.

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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