QIS Platform Analyst
About The Position
The QIS Platform Analyst builds and supports production-grade Python solutions for a strategic front-office platform supporting Quantitative Investment Solutions across Global Markets. The role develops platform analytics, controls, monitoring, workflow automation, data pipelines, validation frameworks, and analytical services used in live production environments. It also applies AI and machine learning to platform performance, monitoring, anomaly detection, signal identification, and automated controls. The analyst strengthens platform resilience through automated checks, dashboards, observability, and investigation and resolution of production issues. Working with Trading, Structuring, Model Quants, and Technology teams, the role supports platform evolution and the onboarding of strategies, datasets, and capabilities. The position is based in UBS’s New York office and involves working a rotational shift.
Requirements
- Strong Python engineering skills and experience designing, building, and supporting production-grade applications.
- Hands-on experience applying AI or machine learning in production environments or advanced prototypes.
- Experience with software engineering best practices, including testing, code reviews, version control, and maintainable code design.
- Experience with modern data platforms, cloud technologies, or distributed systems.
- Strong analytical and problem-solving skills in complex, fast-paced environments.
- Experience building monitoring, observability, or automation frameworks.
- Ability to work across technical and business domains with an end-to-end ownership mindset.
- Comfortable working a rotational shift.
- Sound judgment in validating AI outputs and following policies, risk standards, and responsible AI practices.
Nice To Haves
- Familiarity with systematic strategies, quantitative finance, or front-office platforms.
- Curiosity about how AI can improve the way workflows are built, delivered, and optimized.
Responsibilities
- Design, develop, and maintain production-grade Python applications for platform analytics, controls, monitoring, workflow automation, and business-critical processes.
- Build scalable and resilient data pipelines, validation frameworks, and analytical services for live production environments.
- Apply software engineering practices such as testing, code reviews, documentation, and maintainable design.
- Develop AI and machine learning capabilities, including intelligent monitoring, anomaly detection, signal identification, and automated control processes.
- Improve platform resilience with automated checks, dashboards, and observability frameworks.
- Proactively investigate and resolve production issues.
- Solve problems across systems, data, processes, and business logic, focusing on scalable long-term improvements.
- Partner with Trading, Structuring, Model Quants, and Technology teams to deliver solutions, evolve the platform, and onboard strategies, datasets, and capabilities.
- Validate AI outputs and adhere to policies, risk standards, and responsible AI practices.
Benefits
- Competitive benefits are offered; details are available at UBS’s employee-benefits website.
- Flexible working options when possible.
- Opportunities to grow.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
