At a Glance
- Tasks: Lead quantitative research and enhance electronic trading strategies for global clients.
- Company: Dynamic financial firm focused on innovative trading solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Make a real impact in the fast-paced world of quantitative trading.
- Qualifications: Master’s degree in STEM and experience in quantitative execution research required.
The predicted salary is between 100000 - 150000 £ per year.
Job Summary
The Quantitative Trading & Research (QTR) e Trading 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
- Ph D 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.
- #J-18808-Ljbffr
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Trading & Research - E-Trading - Executive Director
✨Tap into Campus Networks
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We think you need these skills to ace Quantitative Trading & Research - E-Trading - Executive Director
Some tips for your application 🫡
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✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Jpmorgan Chase & Co..
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