Quant jobs / UBS

Trading AI Developer, Global Markets

Build Python analytics and AI applications for UBS’s trading business. The role develops production tools with front-office users on the bank’s quantitative platform.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Implement quantitative models and trader-facing analytical tools.
Develop AI-assisted applications with trading and structuring teams.
Test production changes and integrate them with existing workflows.

What they ask for

Required

Python production development
Software architecture and analytical reasoning
STEM academic background
Communication with front-office teams

Preferred

Production AI and machine learning
Agentic systems and MCP integrations
Numerical Python tools

Education: Academic training in quantitative finance, mathematics, physics, engineering, computing or another STEM subject; degree level not specified.
Experience: Experience releasing changes to complex production systems; no minimum years stated.
Languages and tools: Python
NumPy
Polars
SciPy
Markets: multi-asset

How to prepare

Build a tested Python service for a trading analytics task.
Evaluate an AI workflow with reproducible checks and controlled data access.
Explain the design and failure handling of a production release.

What to study

The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on UBS’s site before applying: requirements, location and pay can change after we check them.

View the posting on UBS’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with UBS and doesn’t handle applications.