Your role
As a member in our London team, you will:
- Develop models and analytics for Capital Markets Financing’s (CMF) trading desks in London, with primary focus on index / delta-1 trading and optimisation
- Deliver high-quality quantitative apps and workflows for CMF Index trading, in partnership with other Quant and IT teams
- Contribute to the development of innovative marking, rebalancing, and optimisation solutions in collaboration with our wider global team as well as Equity Derivative Quants
- Build strong relationships with Trading, Quant, IT and Risk Control partners both in London and across regions
Your Career Comeback
We are open to applications from career returners. Find out more about our program on the UBS careers site.
Your team
Financing Quants deliver best-in-class quantitative solutions for clients and trading functions of UBS’ Financing business, part of IB Global Markets. You will play a pivotal role in delivering optimisation, quoting, and marking models and analytics across our equity financing product suite. You will develop solutions within UBS’s proprietary cloud-based quantitative analytics platform (ACQA) and collaborate across global Trading, Quant and IT teams to support our mission of driving measurable value for our clients and stakeholders.
Your expertise
- Proficient in Python for developing analytics and models
- Strong knowledge of financial mathematics and optimisation theory, with proficiency in corresponding Python packages
- Extensive experience in large-scale data analytics pipelines, with at least one of MS Azure Data Bricks, SQL, or KDB
- Academic background in Mathematics or similar STEM subject
- Professional experience in trading, quantitative research, or quantitative development teams in Prime Financing, Equity Derivative or Fixed Income Repo divisions
- Proficiency in additional programming languages, such as C++, or front-end development in React/Enaml
- Professional experience with Azure workflows and components, streaming workflows is a plus
- Strong knowledge of AI/ML theory, with experience in delivering such models and pipelines at scale in production a plus
- Post-graduate academic studies in Mathematics or similar STEM subject
- LI-GB
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 careers.
Join us
At UBS, we know that it is 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.
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