Quantitative Analyst

Your role

Do you love an intellectual challenge? Are you dedicated to quality design?

• developing new derivatives models and extending existing functionality within analytics libraries to cater for business and regulatory requirements
• frequent interaction with trading and control functions to provide support on modelling and quantitative matters
• close collaboration with both stakeholders and IT teams to improve our pricing and booking capabilities
• contributing to the team's efforts to produce comprehensive documentation and testing

Your Career Comeback

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

Your team

The Equities Quantitative Analytics (QA) team is the Front Office group responsible for the development and maintenance of models used for the valuation and risk management of the firm's trading positions in equities and equity hybrid derivatives. The team works closely with multiple internal clients including trading, IT and control functions, as well as other QA teams in the firm, such as Rates, FX, Portfolio Analytics.

Your expertise

• strong academic background in a quantitative field (mathematics, physics, engineering, etc) – Post-Graduate degree
• excellent understanding of quantitative finance, modelling and derivative pricing techniques along with practical experience
• high level understanding of financial products and markets, especially equity derivatives
• ability to communicate complex ideas in a fluent and articulate manner
• proficiency in C++ programming and an ability to develop within a well-established codebase – knowledge of Python an advantage
• experience with the models used for valuation and risk management of exotics products is strongly preferred
• knowledge of automatic volatility fitting topics is an advantage
• You’re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use