Quantitative Researcher/Trader Location: LondonAn Investment Bank is expanding its electronic trading capability within Fixed Income with exposure to Rates and Credit products. The team operates a fully automated trading stack and is responsible for both strategy design and ongoing performance. They are looking for a VP level quantitative researcher/trader to join their team. What you'll be doingDesigning and improving automated pricing, quoting, and hedging logic for electronic marketsTranslating quantitative research into live, production‑ready trading algorithmsWorking closely with trading and technology colleagues to optimise execution and robustnessTaking responsibility for algorithmic changes that directly impact PnL Why this roleMeaningful accountability: the team has clear commercial ownership, not just implementation responsibilityBroader scope than typical large‑platform roles, with influence across models, parameters, and deploymentClear scope for progression What they're looking forStrong quantitative academic background (MSc minimum in a numerical discipline)Must have experience in electronic trading (eRates, eCredit, or eFX)Proven ability to research ideas, test them rigorously, and implement them in PythonMust have experience in Python (additional experience in Java or KDB+ is ideal)
FULL TIME
Mid-Level
5/5/2026
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