Quantitative Engineer – GM Distribution Quant Analytics
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Salary
≈ $83k – $195k per year (Estimated)
Location
In office (New York)
Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 14, 2026. UBS scores B on the Alion truth index.
Overview
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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.
Backed by Blue Lion
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?
We are looking for a Quantitative Engineer to:
- lead a team while remaining a hands-on engineer, 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
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