Quantitative Researcher/Trader
Quantitative Researcher/Trader
Location: London
An 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 doing
- Designing and improving automated pricing, quoting, and hedging logic for electronic markets
- Translating quantitative research into live, production‑ready trading algorithms
- Working closely with trading and technology colleagues to optimise execution and robustness
- Taking responsibility for algorithmic changes that directly impact PnL
Why this role
- Meaningful accountability: the team has clear commercial ownership, not just implementation responsibility
- Broader scope than typical large‑platform roles, with influence across models, parameters, and deployment
- Clear scope for progression
What they're looking for
- Strong 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 Python
- Must have experience in Python (additional experience in Java or KDB+ is ideal)
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