Quantitative Developer (Python)

Seeking an experienced Quantitative Developer with strong Python development expertise, analytical problem-solving skills, and experience in financial risk and treasury analytics. The ideal candidate will contribute to the design, development, and implementation of enterprise-scale quantitative models, scenario analysis, and analytics solutions used to support strategic financial decision-making. This role combines quantitative development and software engineering to build scalable, high-performance applications supporting treasury, market risk, and financial planning functions. Key Responsibilities: Quantitative Modeling & Analytics • Develop and enhance Python-based models for balance sheet forecasting, interest rate risk (IRR), liquidity analysis, and stress testing. • Design and implement scenario generation frameworks to support regulatory and internal risk assessments. • Build quantitative tools for sensitivity analysis, yield curve construction, scenario transformation, and advanced financial analytics. • Partner with business stakeholders to deliver robust analytical solutions for treasury and risk management. Platform Development & Data Engineering • Design, develop, and maintain high-performance Python modules that power the organization's quantitative analytics platform. • Utilize Python libraries such as Pandas, NumPy, and other quantitative computing frameworks to process and analyze financial data. • Work with large-scale datasets using SQL to integrate financial, market, and balance sheet information. • Collaborate with engineering teams to develop and enhance RESTful APIs supporting analytical services and modeling platforms. Application Integration & Visualization • Collaborate with front-end developers to support React-based dashboards and visualization tools. • Ensure seamless integration between quantitative models, analytics services, and user-facing applications. • Contribute to scalable, maintainable, and production-ready software following engineering best practices. Required Qualifications • Strong experience with Python development in enterprise environments. • Solid understanding of quantitative analytics, financial modeling, or risk management concepts. • Hands-on experience with Pandas, NumPy, and SQL. • Experience building REST APIs and scalable backend applications. • Familiarity with treasury, market risk, liquidity management, or regulatory stress testing is highly preferred. • Experience working in Agile development environments with strong collaboration and communication skills.