E-Trading Execution Researcher
Leads execution research and transaction cost analysis that shapes the electronic trading algorithm roadmap for single-stock and portfolio trading. Sits in J.P. Morgan's eTrading quant team beside product and technology.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Build and govern TCA frameworks and market impact curves
- Diagnose what drives algo performance (size, volatility, venue, time of day)
- Run A/B tests on routing, scheduling and parameter changes
- Turn research into product requirements with technology and algo developers
What they ask for
Required
- Master's in a STEM field or equivalent experience
- Execution research, TCA or algorithmic trading experience
- kdb+/q and Python
- Large trading and market datasets
- Working with product, trading and technology
Preferred
- PhD or strong research record
- Stochastic control or numerical optimisation for execution
- AWS or modern data tooling
- Cash equities market structure
- Education
- Master's in computer science, engineering, maths, statistics or physics; PhD preferred
- Experience
- Solid experience in execution research, TCA or algorithmic trading analytics
- Languages and tools
- Markets
- equities
How to prepare
- Build a TCA report from public trade data using implementation shortfall and VWAP benchmarks
- Fit a square-root market impact model and test it out of sample
- Learn q/kdb+ on a tick dataset
- Study the Almgren-Chriss framework and implement an optimal schedule
What to study
- Market Microstructure and Execution
- Econometrics and Financial Time Series
- Quantitative Data Engineering
- Trading Systems and Low-Latency Infrastructure
The HFT Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on JPMorgan’s site before applying: requirements, location and pay can change after we check them.
View the posting on JPMorgan’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with JPMorgan and doesn’t handle applications.