Quantitative Developer
2 months ago
Company: Multi-Strat Hedge Fund
Department: Equities and Futures Trading Pod
Position Type: Full-time
We are 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.
Job Summary:
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.
Key Responsibilities:
- 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.
Requirements:
- Bachelor's, Master's, or PhD in Computer Science, Engineering, Mathematics, Physics, or a related quantitative discipline.
- 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.
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