Quantitative Strategist - Hedge Fund

A global hedge fund is looking to add a quantitative strategist to a front-office quantitative analytics group supporting trading across multiple asset classes. This role sits at the intersection of trading, quantitative analytics, and engineering, with a focus on ensuring quantitative tools, models, and systems are correctly designed, implemented, and used across the business. This position is well suited for a strong quantitative profile who enjoys working across markets, data, and large systems, and who is comfortable acting as a bridge between traders, quants, and engineers in a fast-moving trading environment. Responsibilities Act as a quantitative partner to trading and analytics teams, supporting the design and evolution of risk, P&L, pricing, and analytics tools. Translate business and trading requirements into clear quantitative and functional specifications for engineering teams. Work closely with technologists to validate analytics and models, and help guide prototypes into scalable, production-ready systems. Analyze market data and system outputs to ensure results are intuitive, consistent, and aligned with market behavior. Coordinate across trading, quantitative, and technology stakeholders to ensure quantitative solutions are delivered accurately and efficiently. Maintain and enhance existing analytics and tools as market conditions, products, and systems evolve. Requirements 2–10 years of experience in a quantitative role (e.g. QA, QR, QD, or desk-facing analytics). Broad understanding of financial markets and market data. Proficiency in Python and/or C++; ability to work with large analytics libraries and data-driven systems. Comfortable interpreting risk and P&L outputs and assessing whether results make sense in real trading conditions. Strong communication skills and the ability to work effectively across traders, quants, and engineers. Enjoys operating in a fast-paced, front-office environment with frequent context switching. To apply, directly submit your CV to this job posting, or email to View email address on click.appcast.io. #J-18808-Ljbffr Mondrian Alpha