Senior Quant AI Developer

• Participate in the design, development, and implementation of quantitative models and analytics supporting our QIS business
• Play a key role in designing and implementing the next generation of AI-powered systems, partnering closely with Trading, Structuring, and Sales from idea generation through production launch
• Deliver high-quality quantitative applications, tools, and workflows to support QIS Trading, Structuring, and Sales in managing, analyzing, and hedging risk
• Contribute to the transformation of our QIS calculation stack, including migration towards a strategic, cloud-based architecture in collaboration with IT and platform teams
• Support internal and external stakeholders, including clients, third-party calculation agents, and internal platform teams, ensuring robustness, transparency, and scalability of QIS analytics
• Build and maintain strong working relationships with Trading, Structuring, Sales, Quant, IT, and Risk partners in London and across regions

Technologies:

• AI
• Azure
• Cloud
• Support
• Python
• Quant

• Strong professional experience in QIS, systematic trading, quantitative research, structuring, or front office quant roles within Global Markets
• Strong proficiency in Python for developing quantitative models, analytics, and production-ready applications
• Solid grounding in financial mathematics, time series analysis, and quantitative modelling techniques
• Experience working with large-scale data and analytics pipelines
• Strong analytical, problem-solving, and architectural design skills, with an ability to operate effectively in a front office environment
• Academic background in Quantitative Finance, Mathematics, Physics, Engineering, Computer Science, or a related STEM discipline
• Strong knowledge of AI/ML techniques, with experience delivering such models into production environments a plus
• Proficiency in agentic design (LangChain/LangGraph), implementation, and hallucination management; experience with performance-critical or large-scale systems is a plus
• Experience with strategic cloud platforms and workflows (e.g. Azure-based architectures); exposure to migration or platform transformation initiatives is advantageous
• Strong understanding of the end-to-end lifecycle of systematic strategies, from research and modelling through production and client delivery
• Curiosity to explore how AI can improve how we build, deliver, and optimize workflows, with sound judgment in validating outputs and aligning with policies, risk standards, and ethical use

We are UBS, a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, we are present in more than 50 markets around the globe. This role is based in London and sits within our QIS Quants team in Global Markets, where we deliver quantitative solutions for clients and trading functions, supporting the full lifecycle of systematic investment strategies from conception to production and client delivery. We offer a collaborative, supportive environment with opportunities to grow, flexible working options when possible, an inclusive culture, and a commitment to disability inclusion and equal opportunity.