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UBS

Quant/AI Developer, Global Markets

London
Posted 3 months ago
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Key Responsibilities

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 Senior 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 Career Comeback

We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.

The 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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Your Skills and Experience

  • 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
  • Previous experience in a front office quant role demonstrating a clear track record of production delivery
  • Able to communicate your ideas clearly and build strong relationships globally within the front office
  • Previous experience of agentic design (harnesses), MCP servers, and related AI/ML python libraries
  • 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
  • Strong understanding of data fundamentals and their python implementations (numpy, polars, scipy)
  • Strong knowledge of AI/ML techniques with experience delivering related work into production
  • 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.

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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. [https://www.ubs.com/global/en/careers/search-jobs/support.html]

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.

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Location

London, England, United Kingdom

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