GM Distribution - Quantitative Analyst/Engineer

UBS; New York (NY); On-site; USD 234,000 - 251,000; Full time

Job summary

UBS in New York seeks a hands-on Quantitative Engineer to lead analytics and AI solutions for Global Markets Distribution. You will own data, models, and production tools, partnering with sales, trading, quants, and developers to deliver impactful, scalable workflows.

The role requires a masterful Python engineer with production practices, cloud deployment, and leadership capabilities, plus a solid grasp of financial datasets and modern AI tooling. Join a fast-growing Quant Analytics team in NYC.

Qualifications

• Bachelor’s degree in a related field; master’s preferred.
• Experience as a hands-on Quantitative Engineer with leadership.
• Strong Python and production engineering practices.
• Hands-on experience with modern AI tooling including LLMs.
• Solid data engineering with large financial datasets; cloud and containers.
• Familiarity with Kubernetes, Airflow, Azure, Spark; kdb+/q welcome.
• Knowledge of Global Markets workflows and clear communication.

Responsibilities

• Lead and mentor a team while delivering production analytics solutions.
• Analyze data, select approaches, build and deploy end-to-end solutions.
• Design, build, and run analytics and AI services for users.
• Collaborate with sales, trading desks, quants and developers to frame problems.
• Choose appropriate techniques and reuse existing solutions when possible.
• Raise engineering standards and contribute to team growth.

Skills

Quantitative engineering

Python

Team leadership

AI tooling

Data engineering

Cloud deployment

Kubernetes

Apache Airflow

Azure

Apache Spark

kdb+/q

Communication

Problem solving

Education

Bachelor's degree

Master's degree preferred

Tools

Kubernetes

Apache Airflow

Microsoft Azure

Apache Spark

kdb+/q

Job description

Key Responsibilities

Do you want to build analytics and AI solutions that directly influence Global Markets Distribution? Are you excited by solving real business problems with the right technology, whether that’s a simple statistical model or a modern LLM-based system? Do you enjoy turning ideas into production tools that win business and save people time?

Job Type

Full Time

Job Reference #

345090BR

City

New York

Key Responsibilities

• lead/work with a team while remaining a hands-on engineer, owning implementation, data quality, monitoring, cost, and releases
• solve real Distribution problems by assessing the data, selecting the right approach, building solutions, and putting them in front of users
• design, build and run analytics and AI services end to end, from data and models through to the tools people use
• partner directly with sales and trading desks, quants, and developers to frame problems and deliver working solutions
• choose the right technique for each problem, reusing existing solutions where appropriate
• raise engineering standards and help grow the team as we continue to hire

The team

You’ll join the Quant Analytics team in Global Markets Distribution; a Centre of Excellence that works directly with the sales and trading desks we support. We’re a small, informal team working across AI, analytics, and engineering, with the freedom to use the approach that best solves each problem. You’ll have modern tooling within the bank’s governance framework, fast and direct feedback from the desk, and the opportunity to help shape the team as it grows.

Your role will be in our New York City location.

Your Skills And Experience

• 4 year degree in mathematics, computer science, engineering, or a related field, with a master’s degree preferred
• experience as a team lead or manager while remaining a hands‑on Quantitative Engineer, providing technical leadership, supporting team development, and delivering production solutions
• strong Python skills and production engineering practices, including testing, version control, code review, and sound software architecture
• hands‑on experience with modern AI tooling, including LLM‑based and agentic applications
• solid data engineering experience with large, complex financial datasets, plus confidence working with cloud and containerised deployments
• experience with Kubernetes, Apache Airflow, Microsoft Azure, Apache Spark and kdb+/q is welcome but not required
• knowledge of Global Markets and sales workflows, or the ability to learn quickly by working closely with the desk
• clear, concise communication, sound judgment, and a practical approach to solving unfamiliar business problems
• you’re curious to explore how AI can improve how we build, deliver, and optimise workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use

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 233750 - max USD 251250 /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 recognise 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.