Overview
A leading proprietary trading group is seeking a Quantitative Trading Analyst to join its team in London. The firm trades a broad range of global listed derivatives using a mix of discretionary, systematic, and market‑making approaches. The successful candidate will work in a highly analytical environment focused on generating insights, improving performance, and supporting strategy development.
Key Responsibilities
Build and Enhance Analytics Infrastructure
- Develop scalable Python libraries and tools that unify and standardise performance metrics across the team.
- Automate workflows that transform raw trading data into meaningful insights for Portfolio Managers and senior decision-makers.
Quantitative Research on Trading Strategies
- Conduct statistical analysis on trade‑ and portfolio‑level data to understand PnL drivers.
- Identify issues such as alpha decay, parameter weaknesses, and execution inefficiencies, producing research directly linked to performance improvements.
- Review trade and strategy performance to pinpoint optimisation opportunities.
- Provide data‑driven recommendations and ensure follow‑through on enhancements.
Optimise Existing Strategies
- Review trade and strategy performance to pinpoint optimisation opportunities.
- Provide data‑driven recommendations and ensure follow‑through on enhancements.
Risk & Opportunity Identification
- Monitor exposures, performance trends, and market conditions to flag emerging risks.
- Surface overlooked or mispriced trading opportunities across different strategy areas.
Support New Strategy Development
- Assist with onboarding new Portfolio Managers and contribute to expansion into new products or strategy verticals.
Candidate Profile
- 1-5 years\' experience in a hedge fund or proprietary trading firm
- Strong programming skills in Python (Pandas, NumPy, SciPy) and SQL experience is a plus.
- Strong understanding of the trade lifecycle and buy‑side strategy types (e.g., Stat Arb, Relative Value, Volatility).
- Highly numerate with excellent attention to detail.
- Strong communication and teamwork abilities.
- Demonstrated interest in financial markets and proactive approach to improvement.
- Comfortable taking ownership in a fast‑moving, high‑performance environment.
- Fast, pragmatic problem‑solving skills.
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