QIS Platform Analyst

UBS•New York, NY

11d•$90,000 - $107,500•Onsite

About The Position

As a QIS Platform Analyst, you will operate at the intersection of Python engineering, data, AI and front office processes, with direct ownership of platform analytics, intelligent monitoring and automation capabilities. The role is deliberately multi disciplinary, requiring the ability to handle a broad spectrum of problems spanning technology, data, business logic and controls. This role offers high visibility, significant autonomy, and the opportunity to apply AI in real production environments within a front office adjacent setting.

Requirements

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
comfortable working a rotational shift
You’re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use.

Responsibilities

Design, develop and maintain production quality Python code supporting 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 plethora 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