Quantitative Trading & Research - E-Trading - Associate or Vice President
- london, england, United Kingdom
- £120 - £180 Per Day
Job Description
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 Description
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.
ABOUT US
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. 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. Visit our FAQs for more information about requesting an accommodation.
About The Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
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