Quant jobs / UBS

IB Quants – Quantitative Analyst (QIS AI & Automation)

Build analytics and AI tools for UBS’s quantitative investment strategies business. The position supports strategy monitoring, hedging and the automation of systematic investment workflows.

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.

Develop analytics for QIS strategy management and risk.
Build AI applications connected to approved business tools.
Automate calculations and controls across the strategy lifecycle.
Deploy tested solutions with trading and technology colleagues.

What they ask for

Required

Production Python engineering
Quantitative finance or systematic strategies
AI application delivery
LLM, RAG or agentic systems
MCP integrations
Business-facing communication

Preferred

QIS or systematic investment product experience
C++, Java, C# or kdb+/q
Cloud and distributed data systems

Education: Bachelor’s, master’s or PhD in a quantitative or STEM discipline.
Experience: At least 5 years in quant analytics, development, AI, systematic trading or related front-office work.
Languages and tools: Python
Markets: multi-asset

How to prepare

Build a QIS strategy-monitoring tool with hedge diagnostics.
Connect an AI assistant to bounded analytical tools and evaluate its outputs.
Design tested automation for strategy calculations and controls.

What to study

The Portfolio and Factor Quant 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.