Quant Developer (C#)

Commodities

London (Hybrid)

About the Role

As a Quant Developer, you will work closely with traders, risk managers, and other stakeholders to develop and enhance quantitative models and tools within the commodities space. Your strong C# development skills will enable you to build high-performance, scalable systems that support real-time decision-making in trading, risk management, and market analysis. This role will require you to work on complex, data-intensive problems in a fast-paced environment where innovation and speed are critical.

Key Responsibilities:

• Design, develop, and maintain quantitative models and analytics tools using C# to support trading strategies, pricing, and risk management.
• Collaborate closely with traders, quants, and other stakeholders to understand business needs and translate them into technical solutions.
• Optimize and enhance existing systems for performance, scalability, and reliability, ensuring that they can handle large volumes of data in real-time.
• Work with data scientists and quants to integrate new data sources, models, and methodologies into the trading systems.
• Contribute to the development of pricing, risk, and forecasting models by providing technical expertise and programming support.
• Implement and maintain robust unit and integration tests to ensure model accuracy and system reliability.
• Participate in the entire software development lifecycle, from requirements gathering and technical design to coding, testing, and deployment.

Key Requirements:

• Strong experience in C#/.NET, with the ability to write clean, efficient, and maintainable code.
• Solid understanding of object-oriented programming, data structures, and algorithms.
• Previous experience working in a front-office or trading environment, preferably within commodities or financial services.
• Strong knowledge of quantitative modeling, pricing, and risk management in the commodities space.
• Experience with SQL (Microsoft SQL Server or similar) for managing and querying large data sets; knowledge of NoSQL databases like MongoDB is a plus.
• Familiarity with market data systems and APIs (e.g., Bloomberg, Reuters) and experience handling real-time market data.
• Experience with optimization techniques and numerical methods to solve complex quantitative problems.
• Strong analytical and problem-solving skills, with the ability to work in a fast-paced, data-driven environment.
• Knowledge of Python or other scripting languages for prototyping is an advantage.