Quantitative Data Developer

About the role

Design, develop, and maintain scalable data solutions and applications that process financial datasets and provide inputs for pricing models and real-time market risk calculations across asset classes. Collaborate with Quant Developers to optimize data pipelines and analytics infrastructure, ensure data accuracy and performance, and document methodologies for validation. A master's degree or PhD in mathematics, physical sciences, or engineering is preferred, along with 3–5 years of experience in large-scale Python development, SQL, and data-intensive products. Candidates must understand financial derivatives and market conventions, and should have experience with financial data structures; C++ or Java experience and risk-management tools such as VaR and Monte Carlo are also relevant.