Quantitative Trading & Research E-Trading Executive Director

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

• Masters 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.