Job Summary
The Quantitative Trading & Research (QTR) eTrading team designs and delivers quantitative analytics, models, and tools that improve electronic execution outcomes for clients globally. As an Executive Director 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.
Mentor and develop junior researchers/analysts, raising standards for research rigor, code quality, and reproducibility.
Required Qualifications, Capabilities, and Skills
Master’s degree in a STEM field (Computer Science, Engineering, Mathematics/Statistics, Physics) or equivalent practical experience.
Solid 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.
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.
Skills Required
- Master's degree in a STEM field or equivalent practical experience.
- Relevant experience in quantitative execution research, TCA, or algorithmic trading analytics.
- Demonstrated expertise in TCA modeling and execution quality measurement.
- Strong programming skills in kdb+/q and Python, with experience on large-scale trading and market datasets.
- Proven ability to partner with Product, Trading, and Technology to move research to shipped capabilities.
- Strong analytical, quantitative, problem-solving skills, with excellent written and verbal communication.
- PhD in a STEM field or strong independent research track record.
- Experience with stochastic control and/or numerical optimization techniques applied to execution.
- Experience with AWS and modern data processing technologies for research-to-production workflows.
- Deep knowledge of cash equities market structure and microstructure across major regions.
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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