Financing Quantitative Analyst

UBS; Opfikon; Vor Ort; CHF 140.000 - 210.000; Vollzeit

Zusammenfassung

UBS in Zürich is seeking a senior quantitative researcher to lead development of models and analytics for the Securities Lending and Financing (SLF) business, with responsibility for a local team.

You will deliver high-quality quantitative apps and workflows in collaboration with other Quant and IT teams, and contribute to AI/ML solutions for quoting in the global lending markets and optimization of client inventory.

Qualifikationen

• 5+ years’ experience in a quantitative field in Finance.
• Proficient in Python for developing analytics and models.
• Strong knowledge of financial mathematics and optimisation theory, with proficiency in Python packages.
• Extensive experience in large-scale data analytics pipelines using Azure Databricks, SQL, or KDB.
• Academic background in Mathematics or a similar STEM subject.

Aufgaben

• Lead the development of models and analytics for UBS’ principal Securities Lending and Financing (SLF) business in Zürich, with leadership responsibility for a local team of quantitative researchers.
• Deliver high-quality quantitative apps and workflows for SLF, in partnership with other Quant and IT teams.
• Contribute to the development of innovative AI/ML solutions by the Financing Quant team for quoting in the global lending markets and optimization of client inventory, placing a strong focus on result-driven outcomes.
• Build strong relationships with Trading, Quant, IT and Risk Control partners both in Zürich and across regions.

Kenntnisse

Python

Financial mathematics

Data analytics

SQL

Azure Data Bricks

KDB

Ausbildung

Mathematics or STEM

Tools

Azure Data Bricks

SQL

KDB

Jobbeschreibung

• lead the development of models and analytics for UBS’ principal Securities Lending and Financing (SLF) business in Zürich, with leadership responsibility for a local team of quantitative researchers
• deliver high-quality quantitative apps and workflows for SLF, in partnership with other Quant and IT teams
• contribute to the development of innovative AI/ML solutions by the Financing Quant team for quoting in the global lending markets and optimization of client inventory, placing a strong focus on result-driven outcomes
• build strong relationships with Trading, Quant, IT and Risk Control partners both in Zürich and across regions

Your role

• lead the development of models and analytics for UBS’ principal Securities Lending and Financing (SLF) business in Zürich, with leadership responsibility for a local team of quantitative researchers
• deliver high-quality quantitative apps and workflows for SLF, in partnership with other Quant and IT teams
• contribute to the development of innovative AI/ML solutions by the Financing Quant team for quoting in the global lending markets and optimization of client inventory, placing a strong focus on result-driven outcomes
• build strong relationships with Trading, Quant, IT and Risk Control partners both in Zürich and across regions

Job Type

Full Time

Job Reference #

341641BR

City

Opfikon

Your team

Financing Quants deliver best-in-class quantitative solutions for clients and trading functions of UBS’ Financing business, part of IB Global Markets. As member of our team, you will play a pivotal role in delivering optimisation, quoting, and marking models and analytics across our equity financing product suite. You will be developing solutions within UBS’s cloud-based quantitative analytics platform and collaborating across global Trading, Quant and IT teams, to support our mission of driving measurable value for our clients and stakeholders.

Your expertise

Required:

• 5+ years’ experience in a quantitative field in Finance
• 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 of one of MS Azure Data Bricks, SQL, or KDB
• academic background in Mathematics or similar STEM subject

Preferred:

• 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

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 across 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.

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.