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Join Barclays as a Senior Quant Developer AI/ML to drive the efforts of AI‑driven quant engineering, where you'll be building production‑grade agent workflows with robust guardrails that transform complex operations into reliable, automated systems used to speed-up the delivery of models to trading and risk environments.
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 Python with applications in AI/ML tools in production workflows, including use of LLM-based assistants, prompt engineering, agents, and automation of technical or business processes
Experience adapting libraries/APIs for usage in agents workflows, implement guardrails, and deliver production ready applications
Desire to work in quantitative finance and utilize programming skills to develop frameworks, automate processes, drive testing and promote high quality production models/code
Nice to have
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)