Global Markets Quantitative AI Engineer (Production)

UBS; City of Westminster; On-site; GBP 90,000 - 150,000; Full time

Job summary

UBS is seeking a hands-on Quantitative Engineer with leadership experience to design and build analytics and AI solutions for Global Markets Distribution. You will own implementation, data quality, monitoring, cost, and releases while partnering with sales desks, quants, and developers to deliver robust production systems.

The role emphasizes modern AI tooling, large financial datasets, cloud and containerized deployments, and strong Python skills within a collaborative, high-standards

Qualifications

• Degree in mathematics, computer science, engineering, or a related field; master's preferred.
• Hands-on Quantitative Engineer with leadership experience.
• Strong Python and production engineering practices: testing, version control, code review, architecture.
• Experience with modern AI tooling, including LLMs and agentic apps.
• Solid data engineering experience with large financial datasets; cloud and containerized deployments.

Responsibilities

• Lead and mentor a team of engineers while remaining hands-on.
• Solve Distribution problems by analyzing data, choosing approaches, building solutions, and deploying to users.
• Design, build, and run analytics and AI services end-to-end from data/models to tools used by users.
• Partner with sales and trading desks, quants, and developers to frame problems and deliver solutions.
• Raise engineering standards and help grow the team as the company hires.

Skills

Python programming

Production engineering

Data engineering

Cloud deployments

Kubernetes

Airflow

Azure

Spark

Kdb+/q

AI tooling

Education

Master's degree preferred

Tools

Git

Job description

UBS is seeking a hands-on Quantitative Engineer with leadership experience to design and build analytics and AI solutions for Global Markets Distribution. You will own implementation, data quality, monitoring, cost, and releases while partnering with sales desks, quants, and developers to deliver robust production systems.

The role emphasizes modern AI tooling, large financial datasets, cloud and containerized deployments, and strong Python skills within a collaborative, high-standards