Senior Trading AI Developer
About The Position
UBS is hiring a Quant/AI Developer to work directly on the trading desk, designing, developing, and implementing quantitative models and analytics across its Global Markets business. The role helps create and deliver AI-powered front-office systems, partnering with Trading, Structuring, and Sales from idea generation through production launch. The position is part of the Quantitative Analytics team in New York, a fast-paced, entrepreneurial group that builds tools, models, and workflows for the Front Office across asset classes. The developer will create models, applications, and workflows on UBS’s proprietary cloud-based quantitative analytics platform (ACQA), collaborating with partners globally. Clean code, curiosity, relationship-building, and clear communication are important to the team’s work. UBS is open to applications from career returners. The company describes itself as a global wealth manager and Swiss universal bank, with asset management and investment banking capabilities, headquartered in Zurich and present in more than 50 markets. The role has an indicative full-time equivalent gross base salary range of USD 225,000–242,500 per year in New York, New York. Salary is determined by relevant factors, and UBS may provide additional variable compensation or awards. UBS states that it offers competitive benefits and flexible working options when possible, and is an Equal Opportunity Employer committed to disability inclusion.
Requirements
- Proficiency in Python and experience delivering production changes to large, complex systems.
- Previous experience in a front-office quant role with a clear track record of production delivery.
- Ability to communicate ideas clearly and build strong relationships globally within the Front Office.
- Previous experience with agentic design (harnesses), MCP servers, and related AI/ML Python libraries.
- Strong analytical, problem-solving, and architectural design skills, with the ability to operate effectively in a front-office environment.
- Academic background in Quantitative Finance, Mathematics, Physics, Engineering, Computer Science, or a related STEM discipline.
- Strong understanding of data fundamentals and their Python implementations, including NumPy, Polars, and SciPy.
- Strong knowledge of AI/ML techniques and experience delivering related work into production.
- Curiosity about applying AI to improve how workflows are built, delivered, and optimized, using sound judgment and validating outputs.
Responsibilities
- Participate in the design, development, and implementation of quantitative models and analytics across the Global Markets business.
- Design and implement next-generation AI-powered systems in partnership with Trading, Structuring, and Sales, from idea generation through production launch.
- Build and maintain strong working relationships with Trading, Structuring, Sales, Quant, IT, and Risk partners in New York and across regions.
- Develop models, applications, and workflows within UBS’s proprietary cloud-based quantitative analytics platform (ACQA).
- Work side-by-side with Front Office partners to architect solutions to practical problems.
- Validate AI outputs and align AI use with policies, risk standards, and ethical-use expectations.
Benefits
- Competitive benefits are offered; further details are available through UBS’s employee benefits information.
- Flexible working options when possible.
- Additional variable compensation or awards may be provided at UBS’s sole discretion.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
