GM Distribution - Quantitative Analyst/Engineer

UBS; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

UBS invites you to join the Quant Analytics team in Global Markets Distribution in London as a Senior Quantitative Engineer. You will design, build and run analytics and AI services end-to-end, from data and models through to production tools used by the desk.

You're expected to have a strong Python background, 3+ years in production engineering, and hands-on experience with modern AI tooling and large financial datasets.

Qualifications

• Degree in mathematics, computer science, engineering, or related field; master’s degree preferred.
• 3+ years as hands-on Quantitative Engineer delivering production solutions.
• Strong Python skills and production engineering practices (testing, version control, code review, and sound software architecture).

Responsibilities

• Own implementation, data quality, monitoring, cost, and releases.
• Solve real Distribution problems by assessing the data, selecting the right approach, building solutions, and putting them in front of users.
• Design, build and run analytics and AI services end to end, from data and models through to the tools people use.
• Partner directly with sales and trading desks, quants, and developers to frame problems and deliver working solutions.
• Choose the right technique for each problem, reusing existing solutions where appropriate.
• Raise engineering standards and help grow the team as we continue to hire.

Skills

Python

Production engineering

AI tooling

Cloud deployment

Data engineering

Kubernetes

Education

Math/CS/Engineering degree

Master’s degree preferred

Tools

Kubernetes

Apache Airflow

Microsoft Azure

Apache Spark

kdb+/q

Job description

Key Responsibilities

Do you want to build analytics and AI solutions that directly influence Global Markets Distribution? Are you excited by solving real business problems with the right technology, whether that’s a simple statistical model or a modern LLM-based system? Do you enjoy turning ideas into production tools that win business and save people time?

• owning implementation, data quality, monitoring, cost, and releases
• solve real Distribution problems by assessing the data, selecting the right approach, building solutions, and putting them in front of users
• design, build and run analytics and AI services end to end, from data and models through to the tools people use
• partner directly with sales and trading desks, quants, and developers to frame problems and deliver working solutions
• choose the right technique for each problem, reusing existing solutions where appropriate
• raise engineering standards and help grow the team as we continue to hire

Job Type

Full Time

Job Reference #

345074BR

City

London

The team

You’ll join the Quant Analytics team in Global Markets Distribution; a Centre of Excellence that works directly with the sales and trading desks we support. We’re a small, informal team working across AI, analytics, and engineering, with the freedom to use the approach that best solves each problem. You’ll have modern tooling within the bank’s governance framework, fast and direct feedback from the desk, and the opportunity to help shape the team as it grows.

Your Skills And Experience

• degree in mathematics, computer science, engineering, or a related field, with a master’s degree preferred
• 3+years experience as hands‑on Quantitative Engineer, providing technical leadership, supporting team development, and delivering production solutions
• strong Python skills and production engineering practices, including testing, version control, code review, and sound software architecture
• hands‑on experience with modern AI tooling, including LLM-based and agentic applications
• solid data engineering experience with large, complex financial datasets, plus confidence working with cloud and containerized deployments
• experience with Kubernetes, Apache Airflow, Microsoft Azure, Apache Spark and kdb+/q is welcome but not required
• knowledge of Global Markets and sales workflows, or the ability to learn quickly by working closely with the desk
• clear, concise communication, sound judgment, and a practical approach to solving unfamiliar business problems
• 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 standards, 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.