Role Overview
Fixed Income, Currencies & Commodities (FICC) Quants within Global Banking and Markets are seeking a C Quantitative Developer specialising in Rates and Credit Derivatives. The role focuses on the development and support of pricing, risk, and P&L infrastructure around a core quantitative pricing library, working closely with quantitative modellers, trading desks, risk, finance, and technology teams. This is a hands-on development role combining pricing system engineering, risk infrastructure, and production support in a fast-paced front-office environment.
Key Responsibilities
- Support the design and implementation of pricing, risk, and P&L infrastructure around the core pricing library
- Assist quantitative modellers in developing and maintaining the core pricing library
- Develop quantitative tooling supporting the broader platform
- Provide daily support for pricing and risk issues within quant libraries
- Design, develop, and integrate intraday pricing, risk, and P&L calculations
- Build and maintain end-of-day risk and P&L systems, supporting migration away from legacy vendor platforms
- Design and integrate market data pipelines
- Work closely with trading desks, quants, risk, finance, and technology teams across global locations
Experience
- 3–7 years’ experience as a Quantitative Developer, IT Developer, or in a trading environment
- Experience working with large quant or pricing libraries
- Strong C development experience (5 years preferred)
- Exposure to financial markets environments (Rates, Credit, FX, or Equities)
- Strong C development (preferably modern environments such as Visual Studio 2022)
- Experience with Git, pull requests, peer review, and CI/CD pipelines (e.g. Jenkins)
- Understanding of Windows and/or UNIX/Linux environments
- Familiarity with automated testing and development workflows
- Understanding of derivatives pricing models used in investment banking
- Knowledge of interest rate swaps and basic bootstrapping techniques
- Understanding of risk sensitivities, stress/shock scenarios, VaR, ES
- Awareness of P&L explain and attribution concepts
- General understanding of trading, pricing, and risk relationships
- Degree in Mathematics, Physics, Engineering, Computer Science or related scientific discipline
- Strong academic background preferred (top-tier university advantageous)
- Knowledge of distributed computing and serialisation techniques
- Experience with scripting languages (Python, Perl, Shell, C#, Java, VBA)
- Cross-platform C development experience
- Good Excel skills
- Experience in data analysis
- Familiarity with fast-paced, multi-tasking development environments
- Strong act with traders and quants
- Ability to handle reactive production support and day-to-day issues
- Quick learner, able to work across legacy and modern codebases
- Comfortable working in a front-line, high-pressure environment
- Pragmatic mindset with understanding of business context behind development work
