Java AI Algo Quant Developer

UBS • Commercial & Retail Banks • Wealth Management & Financial Advisors • Equity • Java • 3 days ago

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Salary

≈ $66k – $163k per year (Estimated)

Location

In office (United Kingdom)

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 22, 2026. UBS scores A on the Alion truth index.

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UBS

Headquartered in Zurich, Switzerland, UBS is a leading global financial services firm and one of the world's largest wealth managers. The company provides a comprehensive range of solutions, including private banking, personal and corporate banking, asset management, and investment banking services. Operating in major financial centers across the globe, the institution assists high-net-worth individuals, corporations, and institutional clients in managing and growing their assets.

ubs.com • HQ: Zurich, Switzerland • Asset Management & Funds • Investment Banking & M&A Advisory • Wealth Management & Financial Advisors • Commercial & Retail Banks • 5000+ employees • Est. 1998

Tech stack of UBS

Backed by Blue Lion

Do you want to contribute to the front office of an investment bank? Are you passionate about algorithmic trading technology? Do you have experience working with real-time pricing systems and an interest in applying AI to automate workflows, surface insights and deliver robust, scalable Java server-side platforms?

At UBS, we re-imagine the way we work, connect with colleagues, clients and partners, and deliver value. Our quantitative development teams sit within the investment bank business, driving greater responsiveness, adaptability and innovation.

We’re looking for a new teammate with practical AI skills to help advance our Equity Derivatives platform. In this role, you will contribute to:

Help design and deliver our new global equity options RFQ, auto-pricing and electronic trading platform
Work with business users and senior colleagues to translate complex business and regulatory requirements, manual processes and trading flows into automated solutions
Use AI to help automate business flows and deliver analytics and signals into the platform
Apply a broad range of software engineering practices to ensure the quality, security, reliability and compliance of our solutions, focusing on both functional and non-functional needs
Work closely with the global team to evolve the platform, build observability into our solutions, monitor production health, help resolve incidents and contribute to remediation of risks and issues

•Share AI, technical and domain knowledge with the team, learn from colleagues and contribute to our engineering culture and internal communities

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