Senior Quant AI Developer

Job Reference #339175

BRCity London Job  Type Full Time Key responsibilities
• Participate in the design, development, and implementation of quantitative models and analytics supporting the 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 the 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

Your Career Comeback We are open to applications from career returners. Find out more about our program on  teamQIS Quants deliver best in class quantitative solutions for clients and trading functions of UBS’ Quantitative Investment Strategies (QIS) business, part of Global Markets. As a member of our team, you will play a pivotal role in the design, modelling, and delivery of systematic investment strategies, along with the analytics and tooling that support their full lifecycle from conception to production and client delivery.

You will be developing models, applications, and workflows within UBS’s proprietary cloud based quantitative analytics platform (ACQA), working closely with Trading, Structuring, Sales, Quant, and IT partners globally. Your work will directly support QIS strategy innovation, risk management, and scalable production, contributing measurable value to clients and internal stakeholders.

Your skills and experience

Required:

• 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

Preferred:
• Strong knowledge of AI/ML techniques, with experience delivering such models into production environments a plus
• Proficiency in Agentic design (Lang Chain/Lang Graph), 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
• You’re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use

About us UBS is 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, UBS is present in more than 50 markets around the globe.

We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do. Because together, we’re more than ourselves. Want to find out more? Visit  usAt UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft…