Quantitative Analyst - QIS AI & Automation

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.

Your team

You will join the ACQA Quants team supporting the Quantitative Investment Strategies (QIS) business within Global Markets.

The team delivers quantitative analytics, tooling, and automation solutions supporting the design, pricing, risk management, hedging, and lifecycle management of QIS products.

You will work within the ACQA quantitative analytics ecosystem and collaborate closely with the wider QIS Platform, Strategy Quant, Quant Core Platform, and Valuation Model teams globally. In addition, you will partner directly with Front Office stakeholders to design and deliver strategic analytics, automation, and AI-enabled solutions that create measurable business impact.

This role provides a unique opportunity to work at the intersection of quantitative finance, software engineering, and AI while gaining deep exposure to systematic investment strategies and quantitative products across asset classes.

Your expertise

Must-have skills & experience

Education & Professional Experience

5+ years of experience in a quantitative analyst, quantitative developer, AI engineering, machine learning, systematic trading, or front-office analytics role.

Bachelor's, Master's, or PhD degree in Mathematics, Physics, Engineering, Computer Science, Statistics, Financial Engineering, or a related quantitative discipline.

Proven experience delivering production-grade analytics, automation, or AI-enabled solutions.

Experience working directly with business stakeholders to translate requirements into scalable technical solutions.

Quantitative Finance & Business Knowledge

Understanding of quantitative finance, derivatives, systematic investment strategies, risk management, or Front Office trading workflows.

Strong analytical and problem-solving skills with the ability to develop practical solutions to complex business challenges.

Strong communication and stakeholder management skills.

Interest in quantitative investment products and strategy lifecycle management.

Software Engineering

Strong Python development skills with experience building production-quality applications.

Strong understanding of software engineering principles, including data structures, algorithms, software design, API development, testing, and version control.

Experience developing scalable analytics, automation, or data-driven applications.

AI & Intelligent Automation

Experience designing, building, or deploying AI-enabled applications, analytics platforms, or workflow automation solutions.

Practical experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI architectures, multi-agent systems, or semantic search and knowledge retrieval systems.

Experience using AI frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, Microsoft Copilot Studio, OpenAI Agents SDK, or similar enterprise AI frameworks.

Experience building or integrating Model Context Protocol (MCP) servers, tools, or workflows that connect AI applications with enterprise systems and business processes.



Nice-to-have skills

QIS & Front Office Experience

Experience supporting Quantitative Investment Strategies (QIS), systematic investment products, index businesses, structured solutions, or systematic trading platforms.

Experience developing trader-facing analytics, pricing, risk management, hedging, or workflow automation solutions.

Experience within Equity Derivatives, Rates, FX, Electronic Trading, or Multi-Asset businesses.

Additional Technology Experience

Proficiency in C++, Java, or C#.

Experience with KDB+/q, Kafka, Kubernetes, Docker, cloud platforms (Azure, AWS, or GCP), vector databases, or distributed computing technologies.

Advanced AI & Data Experience

Experience deploying machine learning models in production environments.

Experience building agentic workflows, MCP-based integrations, enterprise AI applications, or intelligent automation platforms at scale.

Additional Differentiators

Understanding of quantitative research, index methodologies, systematic strategies, electronic trading, or market microstructure.

Demonstrated ability to rapidly learn new business domains and deliver high-quality solutions in a fast-paced Front Office environment.



What will make you stand out

Track record of developing and delivering production-grade agentic applications, MCP-enabled integrations, or enterprise AI platforms.

Proven experience delivering analytics, automation, or AI-enabled solutions within a QIS, systematic trading, derivatives, or Front Office environment.

Experience supporting quantitative strategy development, lifecycle management, pricing, risk management, or hedging processes.

Stro
• You’re curious to explore how AI can improve how we build, deliver and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standard and ethical use.

About us

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. Want to find out more? Visit ubs.com/careers.

Join us

At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That’s why collaboration is 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.

Disclaimer / Policy statements

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.