QIS Platform Analyst

UBS

New York (NY)

On-site

USD 99,000 - 116,000

Full time

5 days ago
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Job summary

UBS Group AG in New York is seeking a QIS Platform Analyst to design, develop, and maintain production-grade Python applications that power platform analytics, controls, monitoring, automation, and business-critical processes.

You will build scalable data pipelines, apply AI in production to improve system performance, and collaborate with Trading, Structuring, and Model Quants to deliver robust, end-to-end solutions. The role may involve a rotational shift and is based in our New York office.

Qualifications

  • strong Python engineering skills with 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
  • familiarity with systematic strategies, quantitative finance, or front-office platforms
  • comfortable working a rotational shift
  • curious about how AI can improve the way we build, deliver, and optimize workflows, with sound judgment in validating outputs and adhering to policies, risk standards, and responsible AI practices

Responsibilities

  • design, develop, and maintain production-grade Python applications that support platform analytics, controls, monitoring, workflow automation, and business-critical processes
  • build scalable and resilient data pipelines, validation frameworks, and analytical services used in live production environments, applying strong software engineering practices including testing, code reviews, documentation, and maintainability
  • use Python to develop AI and machine learning capabilities, including intelligent monitoring, anomaly detection, signal identification, and automated control processes
  • enhance platform resilience through automated checks, dashboards, observability frameworks, and proactive investigation and resolution of production issues
  • solve complex problems across systems, data, processes, and business logic while driving long-term, scalable improvements rather than short-term fixes
  • partner closely with Trading, Structuring, Model Quants, and Technology teams to deliver robust solutions, support platform evolution, and onboard new strategies, datasets, and capabilities

Skills

Python engineering
AI in production
Software engineering practices
Cloud technologies
Distributed systems
Observability frameworks
End-to-end ownership
Quantitative finance domain

Job description

Key Responsibilities

Are you excited by the opportunity to build and own production‑grade Python solutions that power a strategic front office platform? Do you enjoy solving complex problems across technology, data, and business domains? Are you interested in applying AI at scale to improve platform performance, monitoring, and automation?

Job Type

Full Time

Job Reference #

345665BR

City

New York

Key Responsibilities

We are looking for a QIS Platform Analyst to:

  • design, develop, and maintain production‑grade Python applications that support platform analytics, controls, monitoring, workflow automation, and business‑critical processes
  • build scalable and resilient data pipelines, validation frameworks, and analytical services used in live production environments, applying strong software engineering practices including testing, code reviews, documentation, and maintainability
  • use Python to develop AI and machine learning capabilities, including intelligent monitoring, anomaly detection, signal identification, and automated control processes
  • enhance platform resilience through automated checks, dashboards, observability frameworks, and proactive investigation and resolution of production issues
  • solve complex problems across systems, data, processes, and business logic while driving long‑term, scalable improvements rather than short‑term fixes
  • partner closely with Trading, Structuring, Model Quants, and Technology teams to deliver robust solutions, support platform evolution, and onboard new strategies, datasets, and capabilities
The team

The QIS Platform team builds and operates the strategic platform supporting Quantitative Investment Solutions across Global Markets. The team enables the scalable production, monitoring, governance, and innovation of systematic strategies used by Trading and Structuring teams globally. You’ll be based in our New York office and play a key role in strengthening the platform's engineering foundations while helping shape its future capabilities, resilience, and efficiency.

Your Skills And Experience
  • strong Python engineering skills with 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
  • familiarity with systematic strategies, quantitative finance, or front‑office platforms
  • comfortable working a rotational shift
  • curious about how AI can improve the way we build, deliver, and optimize workflows, with sound judgment in validating outputs and adhering to policies, risk standards, and responsible AI practices
About Us

UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.

We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do. Because together, we’re more than ourselves. Want to find out more? Visit ubs.com/careers.

Salary information

The indicative gross base salary range as a full‑time equivalent role:

  • United States - New York - New York min USD 98750 - max USD 116250 /annum

The expected salary for this role will be determined by relevant factors which may include but are not limited to, role‑required experience, qualifications, education, location and skill level. UBS offers a range of competitive benefits and for further information, please visit ubs.com/employee‑benefits. We may, at our sole discretion, provide additional variable compensation or awards.

Join us

At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.

We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.

Disclaimer / Policy statements

UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

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