Lead Quant for Financing & AI/ML Analytics

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

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.