Quantitative Analyst

Responsibilities: Lead the design and build of an equity derivatives library for a new US market making desk Design and build risk and pricing infrastructure as part of a new greenfield project Build risk and pricing infrastructure in collaboration with global technology teams Develop advanced tools for volatility fitting and dividend marking Support daily trading applications, develop trading tools and collaborate with global teams.

Requirements: Master’s degree Mathematics, Computer Science, Engineering or related disciplines Relevant experience on a market making desk, plus in-depth understanding of Equity Derivatives Extensive knowledge in computer science fundamentals and software development experience in Python Strong understanding of design patterns, solid principles, and unit testing practices Experience with SQL, database design, and large datasets This is a high-impact Quantitative Analyst role where you will design and innovate their equity derivatives library and build resilient pricing infrastructure using Python and SQL. You will have significant ownership over greenfield projects, developing advanced tools for volatility fitting and dividend marking while working directly with global teams to optimize business flows for US listed products.