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 & AnalyticsDevelop 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 EngineeringDesign, 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 & VisualizationCollaborate 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 QualificationsStrong 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.