Quantitative Developer

Description:

Stanford Black Limited is partnering with a top 3 performing hedge fund based in London, offering an exciting opportunity for a Quantitative C# Developer to join their highly skilled Front Office Technology Group. This team plays a crucial role in driving the firm’s trading and risk management operations across major asset classes including Fixed Income, FX, and Commodities.

As a Quantitative C# Developer, you will be instrumental in building and enhancing the firm’s in-house pricing platform, as well as developing PnL and risk systems that are integral to the workflows of portfolio managers, risk management teams, finance, and product control units. You will be part of a collaborative environment that integrates quantitative research, data technology, and rapid application development—contributing directly to systems that impact the firm's trading performance and risk strategies.

Key Responsibilities:

• Develop and enhance the firm’s pricing and risk platforms to support trade management and structuring.

• Collaborate with risk management teams to ensure robust evaluation of risk exposure across the trading book.

• Implement high-quality, reusable object-oriented code within core quant library and risk engine frameworks.

• Partner closely with portfolio managers, traders, and quantitative researchers to ensure technology solutions align with trading strategies.

• Continuously improve system performance, scalability, and data integrity to support complex financial computations in real-time trading environments.

Required Skills and Qualifications:

• Advanced proficiency in C# with a strong foundation in object-oriented programming (OOP) principles.

• Solid understanding of financial instruments, particularly derivatives, fixed income, and FX products.

• Minimum 5 years of relevant experience in a front office pricing or risk technology environment.

• Proven track record in developing quantitative software solutions within trading or hedge fund settings.

• Ability to work effectively in a fast-paced, performance-driven environment with a high degree of technical ownership.