Maven - Quantitative Trading Analyst
Requirements
• Strong proficiency in Python for data analysis and simulation. • Deep understanding of the trade lifecycle and buy-side strategies such as Relative Value, Stat Arb, Volatility. • Excellent communication and teamwork skills. • Ability to demonstrate a wider interest in financial markets. • Outstanding numerical skills with proactive interest in improving existing trading strategies and identifying new opportunities. • High level of responsibility suitable for an expanding, highly successful firm. • Excellent attention to detail. • Fast problem-solving skills.
Responsibilities
• Develop Advanced Analytics Infrastructure: Engineer scalable Python-based libraries and tools that standardize performance metrics across the group. create automated workflows that convert raw trading data into high-value insights for Portfolio Managers and the Investment Committee. • Develop Advanced Analytics Infrastructure • Conduct Quantitative Strategy Research: Perform rigorous statistical analysis on trade and portfolio-level data to decompose PnL drivers. Identify alpha decay, parameter inefficiencies, and execution drag to deliver actionable research that directly improves performance. • Conduct Quantitative Strategy Research • Improve Returns on Existing Strategies: Analyze performance on a trade and strategy level to identify inefficiencies of optimisation areas. Deliver recommendations backed by data and maintain follow through. • Improve Returns on Existing Strategies • Highlight Trading Risks & Opportunities: monitor portfolio exposures, performance trends, and market signals to highlight emerging risks and identify underutilized or mispriced opportunities across various strategies. • Highlight Trading Risks & Opportunities • Support Strategy Development: support the PM onboarding process, and business development initiatives into new product groups and strategies. • Support Strategy Development • Candidate Specifications: • At least 2–5 years of experience specifically within a Hedge Fund, Proprietary Trading Firm, or Quantitative Asset Manager. • Strong proficiency in Python (Pandas, NumPy, SciPy) for data analysis and simulation; SQL knowledge is essential. • Deep understanding of the trade lifecycle and buy-side strategies (e.g., Relative Value, Stat Arb, Volatility). • Excellent communication and teamwork skills • Ability to demonstrate wider interest in financial markets • Outstanding numerical skills • Proactive interest in improving existing trading strategies and identifying new opportunities • Ability to take a high level of responsibility in an expanding, highly successful firm • Excellent attention to detail • Fast problem-solving skills
Benefits
• A great environment whereby technology is key to our success • The upside of a start-up without the associated risks • Friendly, informal and highly rewarding culture • A fast-growing global firm with plenty of opportunities where you will have a significant impact
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