Quantitative Researcher

Quantitative Researcher – Multi-Asset Arbitrage - Up to £500,000 Total CompensationMy client is highly regarded as one of the top billion-dollar asset managers renowned for a diversified approach within the portfolio, utilizing a cutting-edge infrastructure to generate consistent returns.We are seeking a highly skilled Quantitative Researcher to join a dynamic team focused on multi-asset arbitrage strategies. This role offers the opportunity to design, develop, and enhance quantitative trading tools and analytics that drive systematic trading decisions across credit, convertible bonds, and structured products.What You’ll Do:Collaborate with portfolio managers and research teams to develop valuation tools, screening frameworks, and analytics that improve trading processes.Design, implement, and backtest trading strategies using Python (and optionally C++ for performance-critical components).Contribute to the expansion of analytics for credit and securitized products, including CMBS, CLOs, ABS, and convertibles.Integrate vendor datasets and models into internal research platforms, ensuring seamless workflows and robust infrastructure.Document models, strategies, and tools clearly, while identifying opportunities to automate manual processes.Operate in a fast-paced, collaborative environment, delivering high-quality solutions with minimal supervision.Who You Are:You hold a Master’s or PhD in a quantitative or technical discipline such as Mathematics, Physics, Engineering, or Computational Finance.You have prior experience in a quant research or development role within a hedge fund, investment bank, or proprietary trading environment.Proficient in Python, with C++ experience considered a strong plus.Experienced in backtesting, simulation, and performance evaluation of trading strategies.Familiarity with credit, convertible bonds, or structured products is a significant advantage.Strong analytical and problem-solving skills, with a keen attention to detail and excellent documentation abilities.You thrive in a collaborative environment and enjoy building tools that enhance a shared research ecosystem.Please contact daniel.mclagan@stanfordblack.com for more information.If this role isn't right for you, but you know of someone who might be interested, we have a market-leading referral scheme in place to thank anyone who refers a friend who is successfully placed! T&Cs apply.