QIS Platform Analyst

UBS; New York (NY); On-site; USD 145,000 - 172,500; Full time

Job summary

UBS's QIS Platform team seeks a highly skilled Python engineer to own production analytics, automated checks and AI-driven improvements in a front-office adjacent setting in New York.

You will design scalable data pipelines, contribute to AI initiatives, collaborate with quants and data scientists, and drive durable platform enhancements across monitoring, observability, and automation in a fast-paced environment.

Qualifications

• Production-grade Python solutions experience.
• Hands-on AI/ML in production or advanced prototyping.
• Experience with data platforms, cloud or distributed systems.
• Strong data analysis and problem-solving in fast-paced environments.
• End-to-end ownership mindset across tech and business domains.
• Experience building monitoring, observability or automation frameworks.
• Familiarity with systematic strategies in finance or front-office platforms.
• Track record of moving solutions from prototype to production or mentoring others.
• Curiosity for applying AI to improve workflows with ethical risk awareness.

Responsibilities

• Design, develop, and maintain production-grade Python code for QIS platform analytics, controls, monitoring and workflow automation.
• Build scalable data pipelines and validation frameworks used in live environments.
• Lead AI/ML initiatives across the QIS platform, including monitoring and automation of controls.
• Collaborate with quants and data scientists to industrialize AI concepts into production.
• Design automated checks, dashboards, and observability frameworks.
• Investigate data or production anomalies and drive cross-team resolution.

Skills

Python production

AI ML production

Data platforms

Cloud computing

Observability

Tools

Cloud platforms

Distributed systems

Monitoring tooling

Job description

Are you interested in a role that offers high visibility, significant autonomy, and the opportunity to apply AI in real production environments within a front‑office adjacent setting? As a QIS Platform Analyst, you will operate at the intersection of Python engineering, data, AI and front‑office processes, taking direct ownership of platform analytics, intelligent monitoring and automation capabilities.

Key Responsibilities

• Design, develop and maintain production‑quality Python code for QIS platform analytics, controls, monitoring and workflow automation.
• Build scalable, resilient data pipelines and validation frameworks used in live environments.
• Apply strong software‑engineering discipline: testing, code review, documentation and maintainability.
• Contribute directly to AI/ML initiatives across the QIS platform, including intelligent monitoring, anomaly detection, signal identification and automation of control processes.
• Work with both structured and unstructured datasets to enable AI‑driven platform capabilities.
• Partner with quants, data scientists and engineers to industrialise AI concepts from prototype into production.
• Design and enhance automated checks, dashboards and observability frameworks.
• Lead investigations into data or production anomalies and drive resolution across teams.
• Continuously improve platform resilience, transparency and scalability.
• Handle a multitude of disciplines simultaneously: coding, data analysis, platform design, process optimisation and stakeholder coordination.
• Break down complex, ambiguous problems spanning systems, data and business logic.
• Drive durable, structural improvements rather than short‑term fixes.
• Support onboarding of new strategies, features, datasets and analytical capabilities.
• Contribute to re‑platforming and modernisation initiatives.
• Identify opportunities to improve automation, developer tooling and operational efficiency.
• Work closely with Trading, Structuring, Model Quants and Technology teams.
• Translate business problems into robust technical solutions and communicate outcomes clearly to senior stakeholders.

Qualifications

• Strong Python skills with experience delivering production‑grade solutions.
• Hands‑on experience with AI or machine learning in production or advanced prototyping.
• Experience with modern data platforms, cloud or distributed systems.
• Strong data analysis and problem‑solving skills in complex, fast‑paced environments.
• Ability to work across technical and business domains with an end‑to‑end ownership mindset.
• Experience building monitoring, observability or automation frameworks.
• Familiarity with systematic strategies, quantitative finance or front‑office platforms.
• Proven track record of moving solutions from prototype to production or mentoring others.
• Curiosity to explore how AI can improve workflows, combined with sound judgement validating outputs and aligning with policies, risk standards and ethical use.

Job Details

Full‑time. Job reference: 338402BR. Location: New York, New York.

The QIS Platform team builds and operates the strategic platform supporting Quantitative Investment Solutions across Global Markets, enabling scalable production, monitoring, governance, and innovation for systematic strategies used by Trading and Structuring globally.

Salary

Indicative gross base salary for New York: USD 145,000 – 172,500 per annum. Salary determined by relevant factors including experience, qualifications, geography and skill level.

Equal Opportunity Employer

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.