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About the Role

We are looking for a Senior Quant/AI Developer to participate in the design, development, and implementation of quantitative models and analytics. You will 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. You will also build and maintain strong working relationships with Trading, Structuring, Sales, Quant, IT, and Risk partners in London and across regions.

Responsibilities

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
Develop models, applications, and workflows within UBS’s proprietary cloud-based quantitative analytics platform (ACQA)
Work closely with Trading, Structuring, Sales, Quant, and IT partners globally
Validate outputs and align with policies, risk standards, and ethical use

Requirements

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
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
Curious to explore how AI can improve how we build, deliver, and optimize workflows

Skills

Python
Agentic design
MCP servers
AI/ML python libraries
Analytical skills
Problem-solving skills
Architectural design skills
Data fundamentals
Numpy
Polars
Scipy
AI/ML techniques

Location

London

Work Type

Full-time

Experience Level

Senior

Education Level

Quantitative Finance
Mathematics
Physics
Engineering
Computer Science
Related STEM discipline

Benefits

Flexible working options when possible

About the Company

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.
We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.

Equal Opportunity

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.