IB Quants – Quantitative Analyst (QIS AI & Automation)

UBS · United Kingdom, NY

$100k–$141k a year (estimate) our estimate; the employer didn't post pay

Mid level · Posted 17 days ago

✓ Verified live 1 hour ago · Direct from UBS's career site

Job description

Are you passionate about quantitative finance, systematic investment strategies, and applying AI to solve real Front Office business challenges?

We're looking for a Quantitative Analyst to join the IB Quants team in ACQA supporting the Quantitative Investment Strategies (QIS) business. Working at the intersection of quantitative analytics, software engineering, and AI, you will partner closely with QIS Trading, Structuring, Sales, and Technology teams to develop next-generation analytics, automation, and AI-enabled solutions supporting the full lifecycle of QIS products and strategies.

You will contribute to the design and delivery of quantitative strategy analytics, hedge and risk management tools, and intelligent workflow solutions that help accelerate innovation, improve scalability, and enhance the efficiency of the QIS business. This role offers the opportunity to apply modern quantitative methods and AI technologies in production environments while gaining deep exposure to systematic investment strategies and tooling & business workflows of the QIS business.



Your responsibilities

Design, develop, and support quantitative analytics, applications, and automation solutions supporting the QIS business.

Partner directly with QIS business to understand business requirements and rapidly deliver impactful solutions.

Build AI-enabled applications leveraging Large Language Models (LLMs), Agentic AI architectures, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and machine learning techniques.

Develop tools supporting QIS strategy management, monitoring, and hedging activities.

Contribute to the automation and industrialisation of QIS strategy workflows, calculations, controls, and operational processes.

Collaborate closely with peer Quant, Trading, Structuring, Sales, Risk, and Technology teams globally throughout the full development lifecycle.

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