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Quantitative Trading & Research - E-Trading - Associate or Vice President
mid · Trading & Markets
Job Summary
The Quantitative Trading & Research (QTR) Equity eTrading team designs and delivers quantitative analytics, models, and tools that improve electronic execution outcomes for clients globally. As an Associate/a Vice President in the eTrading team, you will be contributing to the enhancement of our algorithmic execution strategies. You will develop new, advanced quantitative models as well as analysing and improving existing models. You will work closely with Electronic Client Services and trading desks to tailor models, iterate based on experimentation and client feedback, and translate research into measurable performance improvements.
Job Responsibilities
Research and model development
Conduct market microstructure research (order books, auctions, venue structure, dark vs. lit dynamics) and quantify the impact on execution outcomes and product design.
Analyze large, multi-horizon datasets (tick, intraday, daily) to extract stable causal relationships and signal structures.
Evaluate, document, and back‑test methodologies to ensure robustness, reproducibility, and performance under varying market regimes.
Lead the development of analytics and data-driven processes to automate and optimize model calibrations.
Validate and compare production implementations of models to verify behaviour and outcomes vs research.
Execution measurement and experimentation
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.
Build tools to analyse execution performance and evaluate experiments.
Data engineering
- Develop and curate high quality datasets facilitate research into quantitative models for trading algorithms and performance analysis.
Collaboration
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/PhD in a STEM field (Computer Science, Engineering, Mathematics/Statistics, Physics) or equivalent practical experience.
Relevant experience in quantitative research, electronic trading, or related fields.
Advanced knowledge of mathematics and statistics (probability theory, time series, econometrics, causal inference).
Strong programming skills in Python and/or kdb+/q, with experience working with large-scale trading and market datasets.
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.
Deep knowledge of cash equities market structure and microstructure across major regions.
Experience with algorithmic execution strategies.
Experience solving stochastic optimization problems.
Experience with modern data processing technologies used for research-to-production workflows.
Familiarity with machine learning techniques and their application to real world problems.
Experience with AWS cloud computing environments and architecture.