Quantitative Risk Developer

Job Title: Quantitative Developer (C++) Department: Equities and Futures Trading Pod Position Type: Full-time Join a leading global hedge fund with a strong track record of delivering superior returns through sophisticated trading strategies and cutting-edge technology. Our firm operates across various asset classes, including equities, futures, fixed income, and more. We foster a collaborative environment where innovative ideas are encouraged, and employees are empowered to excel. We are seeking a highly skilled Quantitative Developer with expertise in C++ to join our Equities and Futures Trading Pod in London. This role is integral to the development and enhancement of our trading algorithms, quantitative models, and high-performance trading systems. The ideal candidate will have a strong background in quantitative development, a deep understanding of financial markets, and the ability to work closely with traders, quantitative researchers, and other developers. Design, develop, and optimize trading algorithms for equities and futures markets using C++. Quantitative Model Implementation: Collaborate with quantitative researchers to translate mathematical models into robust, efficient, and scalable code. System Performance Optimization: Ensure high performance and low latency of trading systems through rigorous optimization and testing of C++ code. Backtesting and Simulation: Develop tools and frameworks for backtesting trading strategies and running simulations to validate model performance. Data Analysis: Analyze large datasets to identify patterns, trends, and opportunities that can inform trading strategies. Code Review & Maintenance: Participate in code reviews, maintain high code quality standards, and contribute to the continuous improvement of development practices. Risk Management: Develop and integrate risk management tools to monitor and mitigate potential risks in trading strategies. Educational Background: Bachelor's, Master's, or PhD in Computer Science, Engineering, Mathematics, Physics, or a related quantitative discipline. Programming Skills: Expertise in C++: Strong proficiency in C++ (11/14/17) with a focus on performance optimization, memory management, and multithreading. Additional Languages: Proficiency in Python, R, or other scripting languages is a plus. Financial Knowledge: Market Expertise: In-depth knowledge of equities and futures markets, with a strong understanding of market microstructure and trading strategies. Quantitative Skills: Familiarity with mathematical modeling, statistical analysis, and machine learning techniques.