Quant Developer | C# | Hybrid

Overview

We are seeking an experienced Quantitative Developer with strong C# expertise to join a high-performing financial services team based in London. This hybrid role offers the opportunity to work closely with trading, risk, and development teams, providing solutions across pricing, analytics, and risk management systems. A background in Foreign Exchange (FX) is essential, while experience in commodities, energy, or metals is advantageous.

The successful candidate will possess a strong understanding of derivatives pricing, with experience implementing and maintaining Excel-based pricing sheets and working with pricing analytics libraries in an options trading environment. An advanced degree in a numerical discipline such as mathematics, physics, or engineering is required, and working knowledge of Python is a plus.

• Collaborate with trading, risk, and technology teams to build and maintain risk and analytics frameworks.
• Develop reporting and risk management layers on top of existing FX frameworks, including cash flow reporting and settlement reports.
• Build and implement volatility model frameworks using vol surface generation based on trader analysis, with integration into the existing pricing systems.
• Work with traders to implement solver changes for PnL targeting methodologies, including thorough testing and documentation.
• Take ownership of C#-based risk and analytics reporting tools.
• Maintain and enhance Excel pricing and risk sheets used across desks.
• Extend market data capabilities including implied vol enhancements and implied yield/carry curves.
• Implement new instrument models and enhance existing ones to keep up with evolving market demands.

• Proven experience as a C# Quant Developer in a financial services or trading environment.
• Strong knowledge of pricing analytics and quantitative libraries used in options trading.
• Extensive experience developing and maintaining Excel pricing sheets.
• Solid understanding of FX markets; experience in commodities, energy or metals is an asset.
• Proven track record of implementing new financial instrument models.
• Advanced degree (MSc/PhD) in a quantitative discipline such as mathematics, physics, engineering, or computer science.
• Familiarity with Python programming is advantageous.

Location: London (Hybrid)

Salary: £100,000 - £120,000 per annum + Bonus + Benefits