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Join Barclays as a Senior Quant Developer to build and modernize our quant finance infrastructure, where you’ll be designing robust Python-driven frameworks and AI‑augmented workflows that turn complex model testing into scalable, production-grade systems integrated into decision making and trusted across the business
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
Very strong Python 3+ pandas, numpy and matplotlib skills. Namely developing the architecture, abstraction and OOP, databases, containers, scientific computing, interfaces, test-driven development and code documentation
Experience applying AI/ML tools in production workflows, including use of LLM-based assistants, prompt engineering, agents, and automation of technical or business processes
Familiarity with Git/CI/ Docker/MongoDB development and deployment patterns
Desire to work in quantitative finance and utilize programming skills to develop frameworks, automate processes, drive testing and promote high quality production models/code
Experience developing internal tools or user-facing applications using React and Express, with strong software engineering fundamentals and ability to integrate with Python-based analytics/services
Basic knowledge of mathematical finance (e.g. Black Scholes, Hull-White, etc)
Basic understanding of numerical computation (optimization, Monte-Carlo, integration, etc)
PhD or master’s in computer science, Applied Mathematics, physics (or similar mathematical, scientific, or software-related field)
Nice to have
Experience developing internal tools or user-facing applications using React and Express, with strong software engineering fundamentals and ability to integrate with Python-based analytics/services
Basic knowledge of mathematical finance (e.g. Black Scholes, Hull-White, etc)
Basic understanding of numerical computation (optimization, Monte-Carlo, integration, etc)
PhD or master’s in computer science, Applied Mathematics, physics (or similar mathematical, scientific, or software-related field)