Backend Software Engineer (Finance/Trading background preferred)

UBS • Commercial & Retail Banks • 1 day ago

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Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 7, 2026. UBS scores B 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 Bluelion

Are you passionate about building and delivering robust and scalable IT solutions? Are you experienced in building new software products, preferably in the trading and finance domain? Do you want to design and build attractive digital products and services? Do you want to play a key role in using AI technologies to scale and transform your impact?

We are looking for a Software Engineer to:

design and develop new software products using AI-assisted and agentic engineering practices and agile methodologies
have a proactive and solution driven attitude to help deliver time sensitive project deliveries
ensure the delivery of high-quality, scalable, and robust software products that seamlessly integrate into the enterprise-wide ecosystem and access channels
analyze business requirements, design and implement solutions, and develop software components to incrementally enhance the product
ensure that produced code is secure, stable, scalable, and operational
support the product in resolving high-priority defects and deploying fixes to production systems
contribute to improving engineering productivity, quality, automation, and development lifecycle efficiency through the effective use of AI technologies

• collaborate effectively with other global IT teams

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