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Join Barclays as a Senior Quant Developer Rates/Credit/Securitise Products, where you'll shape the future of derivatives modelling by combining deep quantitative expertise with hands‑on Python engineering to build, validate, and scale next‑generation pricing frameworks used for trading and risk decisions
Job Responsibility
Design, development, and maintenance of high-performance trading platforms, risk systems, and applications catering to the needs of traders and market participants
Collaboration with traders, strategists, and stakeholders to gather requirements and translate them into scalable and efficient technological solutions
Implementation of new features, enhancements, and functionalities on trading platforms to improve performance, reliability, and user experience
Stay updated on technological advancements, industry trends, and best practices to drive innovation and continuous improvement in trading platforms
Collaboration with cross-functional teams including business aligned SM&D teams, strats, compliance, and IT to address system issues and implement solutions
Requirements
Strong knowledge of mathematical finance and derivative pricing models, ideally with applications in model development in Rates or Credit and industry standards model e.g. Local Volatility Cheyette, Libor Market Models (LMM), change of numeraire techniques with application to convexity adjustments, Credit Default Swaps pricing, modelling of default and recovery
Good understanding of optimization and numerical methods for the implementation of derivatives pricing models: Monte-Carlo, techniques for variance reduction in Monte-Carlo, numerical integration methods, numerical methods for partial differential equations
Strong Python 3+ pandas, numpy and matplotlib skills
Nice to have
C++/C# programming
PhD or master’s in computer science, Applied Mathematics, physics (or similar mathematical, scientific, or software-related field)
Ability to work with quantitative developers, validators, and business stakeholders to translate model and governance requirements into robust engineering solutions