Front Office Quant & AI Engineer – Global Markets

UBS; City of Westminster; On-site; GBP 120,000 - 180,000; Full time

Job summary

UBS in London is seeking a highly skilled Quant/AI engineer to design, build, and deploy production-grade models and analytics for Global Markets. You will collaborate with Trading, Structuring and Sales from concept through production launch, shaping AI-powered solutions across asset classes.

The role focuses on clean code, strong relationships, and practical problem solving within UBS's cloud-based analytics stack, ACQA, across regional teams.

Qualifications

• Strong Python experience delivering production changes.
• Academic background in STEM or quantitative fields.
• Proven front-office collaboration and communication skills.

Responsibilities

• Design, develop, and implement quantitative models and analytics for Global Markets.
• Partner with Trading, Structuring and Sales from idea to production launch.
• Build and maintain relationships with IT, Risk and other stakeholders in London and beyond.

Skills

Python

Quantitative analytics

AI/ML libraries

Production delivery

Front-office interaction

Education

Bachelor's or higher in Quantitative Finance / Mathematics / Physics / Engineering / CS

Tools

ACQA platform

MCP servers

Job description

UBS in London is seeking a highly skilled Quant/AI engineer to design, build, and deploy production-grade models and analytics for Global Markets. You will collaborate with Trading, Structuring and Sales from concept through production launch, shaping AI-powered solutions across asset classes.

The role focuses on clean code, strong relationships, and practical problem solving within UBS's cloud-based analytics stack, ACQA, across regional teams.