Trading Analyst - QPT (Quantitative Positional Trading)

Maven is a market-leading proprietary trading firm deploying its own capital across discretionary, systematic, and market-making strategies. Backed by deep expertise in trading, technology, and research, we are relentlessly focused on improving liquidity across global listed derivatives. Through advanced execution and pricing technologies, we improve how financial markets operate.

Maven is rapidly expanding its Quantitative Positional Trading Team and is seeking a Trading Analyst to join this fast-growing unit. The desk is active across global options markets and has a key focus on fair value generation, portfolio construction, and alpha performance evaluation. 

We are looking for a Trading Analyst to research and improve both new and existing strategies, build and maintain scalable infrastructure, and attribute the performance of the desk.

• →Conduct research and backtests on potential alphas across the volatility surface, term structure, 0DTE, relative value and dispersion trades.
• →Perform analysis of PnL attribution, market dynamics, and changes in volatility surfaces.
• →Work directly with traders to prototype ideas, test hypotheses, and iterate on strategies.
• →Take ownership of desk-owned infrastructure, ensuring the stability of trading systems that can operate 23 hours a day.
• →Build systems that balance the trade-offs between optimal architecture and rapid iteration.
• →Build dashboards to visualise analyses and help traders with discretionary strategies.

• Strong Python and SQL.
• Strong and effective communication to allow for quick iteration in a fast-moving work environment.
• Interest in financial markets and derivatives.

• Experience in quantitative development or research, prior experience from derivatives desks preferred.
• Experience with portfolio construction.
• Experience with Docker, Kubernetes, ArgoCD (or equivalent systems).
• Experience developing and maintaining production systems.
• Knowledge of other programming languages (C++, C#, JavaScript/TypeScript).
• Experience with AI tools for analysis, programming, or research.