Quantitative Engineer

Your role

Would you like to apply your diverse technical and people skills to help lead the way through UBS' AI transition? Do you enjoy solving a variety of challenges in the world of Big data and data science? We're looking for someone to:

Help team build the future of Client and Content ecosystem within IB Global Markets

Implement AI for multiple use cases in the IB for our Sales functions, from LLM chat to knowledge graphs

Innovate and solve for a large variety of different revenue-generating and productivity issues that occurs in the Global Markets Distribution business area within IB

Utilize the latest (and oldest) statistical, causal, ML and AI models to get results

Utilize your extensive coding background to remain hands-on and deliver projects on our modern Azure, big-data based data infrastructure

Understand the insights and needs of our stakeholders and clients within the IB business so as to be able to collaborate effectively with our product experts to drive meaningful impact.

Represent the IB Client Platform Quants team in the region to our clients and stakeholders; work in tandem with our global team

Detailed salary information:
New York: the salary range for this role is $225000 to $242500
The expected salary range(s) for this role as of the date of this posting is/are based on factors including, but not limited to, experience, qualifications, education, location and skill level. This role may also be eligible for discretionary incentive compensation. For benefits information, please visit ubs.com/usbenefits.

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.

Your team

You'll be working in the Client Platforms Quants team in New York, focusing on analytics and AI focused deliveries for Distribution. With our mandate in Global Markets, we provide high quality data and the understanding and insights that can be gained from them. This benefits our internal stakeholders (Sales, Trading and Management) and external Clients through improved service provision. We are a hands-on team responsible for infrastructure, modelling, and development of a suite of apps.

Although we are part of a well-established bank, our team maintains a casual and collaborative atmosphere. We adhere to regular working hours while consistently achieving exceptional results through innovative and scientific approaches The team is fun with mixed experience.

Your expertise

Degree in a computer science, data science or equivalent in a technical field with demonstrable financial computing relevance

Ideally 5+ years of experience in a related role

Track record of leading projects and/or teams with a good command on architecture, cost, and scalability

Expert coding experience - history of hands-on development on python and/or java, big data engineering experience is a plus

Analytics experience is a plus - agentic ML, recommendation models, client analytics, statistics, classical ML, and interest in latest AI research

Experience in a Markets business, for example Equities or Credit trading or distribution is a plus

Cloud experience - we are on Azure managing an estate that is built on: kubernetes, azure-data-lake, airflow, spark, kafka, protobuf

Ability to identify and address key issues effectively and communicate the rationale behind proposed solutions to stakeholders.

Balance of analytical rigor and practical application

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.

Your Career Comeback

We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.

Salary information

US Only: The expected salary range for this role is $225000 to $242500 based on factors including, but not limited to, experience, qualifications, education, location and skill level. Please see Your role section for detailed salary information.