Quantitative Trading & Research - e-Trading - Executive Director

JPMorganChase; New York (NY); On-site; USD 180,000 - 320,000; Full time

Job summary

JPMorganChase in New York, NY seeks an Executive Director for QTR eTrading to lead execution research and TCA, informing the electronic trading product roadmap for single-stock and portfolio trading. You will partner with Electronic Client Solutions, Coverage, and Technology to translate research into scalable platform enhancements and client solutions.

You will guide strategy, drive performance measurements, and collaborate across teams to deliver measurable improvements in execution quality

Qualifications

• Master's degree in a STEM field or equivalent practical experience.
• 8+ years of quantitative execution research, TCA, algorithmic trading, or related electronic trading analytics roles.
• Demonstrated expertise in TCA modeling and execution quality measurement.
• Strong programming skills in kdb+/q and Python with experience using large-scale trading datasets.
• Proven ability to partner with Product, Trading, and Technology to ship capabilities and measurable improvements.
• Strong analytical, quantitative, and written/verbal communication skills.

Responsibilities

• Define and influence product strategy and roadmap.
• Lead TCA frameworks, benchmarks, and performance analyses.
• Translate results into actionable product recommendations.
• Collaborate with Technology to productionize research and governance.
• Create client-facing content and support stakeholder discussions.

Skills

Analytical thinking

Quantitative analysis

Programming (kdb+/q)

Python

Stakeholder collaboration

Communication skills

Education

Master's degree in STEM

Tools

AWS

Job description

Job Summary

As an Executive Director in QTR eTrading, you will be aligned closely with the product team, leading 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.

Equal Opportunity

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.