Quant/AI Developer - Global Markets

Are you excited by the prospect of engineering solutions in across Global Markets? Do you want to design, build and help deliver production systems across the front-office? Are you passionate about building and delivering AI solutions?

We’re looking for a Quant/AI Developer to:

• participate in the design, development, and implementation of quantitative models and analytics across the Global Markets 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 to production launch
• build and maintain strong working relationships with Trading, Structuring, Sales, Quant, IT, and Risk partners in London and across regions

Your team

You’ll be working in our Quantitative Analytics team in London — a fast-paced, entrepreneurial environment. We build the tools, models, and workflows that drive the Front Office across asset classes, working side-by-side with them to architect solutions to real problems.

You’ll develop 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. Clean code, curiosity and the ability to build relationships and communicate ideas is crucial to the team delivering across a broad range of problems.

Your expertise

Must have:

•an ambitious and intellectually curious individual, keen to combine your technical experience with a clear desire to solve practical problems
• proficient in Python with experience delivering production changes to large complex systems
•able to communicate your ideas clearly and build strong relationships globally within the front office
•a strong analytical, problem-solving, and architectural design skills, with an ability to operate effectively in a front-office environment
• an academic background in Quantitative Finance, Mathematics, Physics, Engineering, Computer Science, or a related STEM discipline
• 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

Nice to have:

• strong knowledge of AI/ML techniques with experience delivering related work into production
• previous experience of agentic design (harnesses), MCP servers, and related AI/ML python libraries
• strong understanding of data fundamentals and their python implementations (numpy, polars, scipy)

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 ubs.com/careers.

Join us

At 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 and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.
We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.

Disclaimer / Policy statements

UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.