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This job expired on 26/09/2026. It no longer accepts applications.
Senior Quant Trader
eFinancialCareers · London
Job description
About the role
The firm is a well‑capitalised, technology‑driven trading organisation operating across digital assets, derivatives and emerging prediction markets. As a Senior Quant Trader you will join the London front‑office desk, working directly with the firm’s automated trading infrastructure to refine existing models and create new systematic trading opportunities.
Key responsibilities
- Monitor and actively manage real‑time risk across live books, including local time‑zone coverage and weekend shift rotation.
- Conduct pricing and execution research to support systematic hedging strategies.
- Design, implement and back‑test new trading signals and execution strategies across spot, derivatives and event‑driven markets.
- Develop and improve models for market microstructure analysis, signal generation, position sizing and execution optimisation.
- Identify structural mispricings, liquidity patterns and inefficiencies in existing and new markets.
- Perform rigorous post‑trade analysis, including PnL attribution, slippage analysis and signal decay diagnostics.
- Collaborate with quant developers and engineers to translate research into production‑grade trading systems.
- Contribute to the evolution of the firm’s risk framework, including real‑time monitoring and drawdown management tools.
Required profile
- Master’s or PhD in Mathematics, Statistics, Engineering, Computer Science or a related quantitative discipline from a top‑tier institution.
- 5+ years of profitable trading experience at a bank, proprietary trading firm or market‑making desk.
- Deep understanding of market microstructure, order‑flow dynamics and execution mechanics.
- Proven ability to manage live risk independently and make fast, sound decisions under pressure.
Required skills
- Strong proficiency in Python.
- Experience with C++ or low‑latency execution environments.
- Solid grounding in statistical modelling, time‑series analysis and back‑testing methodology.
- Experience with derivatives pricing, options microstructure or volatility modelling.
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eFinancialCareers
London
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