> Markdown version of [/jobs/ext/1178075-qis-platform-analyst](https://www.wearedevelopers.com/jobs/ext/1178075-qis-platform-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# QIS Platform Analyst

- **Company:** UBS
- **Location:** New York, NY, United States
- **Salary:** $145,000.0 - $172,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Business Logic, Computing Platforms, Cloud Computing, Code Review, Data Infrastructure, Programming Tools, Distributed Systems, Python (Programming Language), Machine Learning, Software Engineering, Unstructured Data, Data Pipelines
- **Published:** July 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d46d470ccaae3640

## About the Role

* 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

 * LI-UBS
 * UBS-MOGUL

## Description

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., Python engineering (core responsibility)
o Design, develop and maintain production quality Python code supporting QIS platform analytics, controls, monitoring and workflow automation
o Build scalable, resilient data pipelines and validation frameworks used in live environments
o Apply strong software engineering discipline: testing, code review, documentation and maintainability

 * AI & machine learning

o Contribute directly to AI / ML initiatives across the QIS platform, including intelligent monitoring, anomaly detection, signal identification, and automation of control processes
o Work with both structured and unstructured datasets to enable AI driven platform capabilities
o Partner with quants, data scientists and engineers to industrialise AI concepts from prototype into production

 * Platform monitoring & resilience

o Design and enhance automated checks, dashboards and observability frameworks
o Lead investigations into data or production anomalies and drive resolution across teams
o Continuously improve platform resilience, transparency and scalability

 * Multi disciplinary problem solving

o Handle a plethora of disciplines simultaneously: coding, data analysis, platform design, process optimisation and stakeholder coordination
o Break down complex, ambiguous problems spanning systems, data and business logic
o Drive durable, structural improvements rather than short term fixes

 * Change & platform evolution

o Support onboarding of new strategies, features, datasets and analytical capabilities
o Contribute to re platforming and modernisation initiatives
o Identify opportunities to improve automation, developer tooling and operational efficiency

 * Stakeholder engagement

o Work closely with Trading, Structuring, Model Quants and Technology teams
o Translate business problems into robust technical solutions and communicate outcomes clearly to senior stakeholders


## Related Videos

- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data)
- [The Algorithm That Nearly Killed Me: When Testing Isn't Enough](https://www.wearedevelopers.com/videos/2110-the-algorithm-that-nearly-killed-me-when-testing-isn-t-enough)
- [Architecting the Future: Leveraging AI, Cloud, and Data for Business Success](https://www.wearedevelopers.com/videos/1096-architecting-the-future-leveraging-ai-cloud-and-data-for-business-success)
- [Build a CI/CD pipeline to automate code reviews and ensure code quality](https://www.wearedevelopers.com/videos/349-build-a-ci-cd-pipeline-to-automate-code-reviews-and-ensure-code-quality)

## Related Articles

- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)
- [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025)