C+ Quantitative Developer - Algo Vol Trading- Global Hedge Fund

Salary: Up to ??160k base, circa ??250k TC Experience: 10+ years Job Description Fantastic opportunity for a highly experienced C++ developer to join one of the world's most prestigious hedge funds. Come and be a part of the firm's continued success by developing a systematic platform for options trading, including algorithms to optimize execution for Portfolio Managers & post-trade analytics capability. You will join the global Algo Dev Trading team in the process of building a new Volatility Trading system, facing off to Portfolio Managers and the Quants, working with them in the different trading pods. You will help build out a new sub-team and play a vital role in designing, implementing, and maintaining the options trading systems, collaborating closely with QAs and traders to develop efficient, robust code to meet their strategic needs. This is an exciting opportunity to contribute to a dynamic and fast-paced environment, leveraging your C++ expertise and options trading business knowledge. Skills and Experience Required Substantial programming experience using modern C++ (at least C++17, ideally later) Deep-level understanding of financial markets (equities, derivatives, options, futures) is crucial Proficiency in quantitative analysis, mathematical modeling, statistics, and probability theory Knowledge of options and products traded by volatility traders, e.g. Equity Options, Index Options, Variance/Volatility Swap At least a bachelor's degree in Maths, Computer Science (or other STEM field) from a top-tier university Experience building out automated options trading systems Rewards and Incentives Significant salary + bonus Greenfield work / big impact Very collaborative culture, ideas are implemented Contact If you feel you're suitable for this role, want to hear about similar positions, or would like help hiring similar developers for your company, please send your CV or get in touch: Richard Allan ##### +44 (0) 20 ##### ##### linkedin.com/in/richardallanok/ #J-18808-Ljbffr