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About the role
Python Developer Country India Detailed JD (Roles and Responsibilities) Core Responsibilities Develop robust Python applications for risk analytics and scenario generation. Collaborate with traders, risk managers, and quantitative analysts to gather requirements and deliver efficient solutions. Build and maintain data pipelines for large-scale risk calculations using Numpy , Pandas , and other scientific libraries. Integrate risk models with SQL-based data stores and ensure optimal query performance. Develop and maintain unit tests (Pytest) and functional tests (Cucumber/Gherkin) for model validation and application reliability. Work in an Agile environment , participating in sprint planning, code reviews, and continuous integration/deployment (CI/CD). Design and expose REST APIs for risk calculation services and reporting. Implement automated workflows and deployment pipelines, ideally using Azure DevOps . Total Experience Min 5+ Years Relevant Experience Min 5+ Years Mandatory skills 5+ years of hands-on Python experience , including: Object-oriented programming (Classes) Advanced Python features (lambda expressions, list comprehensions) Strong experience with Numpy/Pandas for numerical and data analysis. Solid understanding of SQL databases and query optimization. Solid experience with Pyspark Familiarity with SDLC tools (source control, code review, CI/CD pipelines). Experience writing unit and functional tests for complex systems. Desired skills Exposure to Trading Front/Middle/Back Office workflows, ideally in energy or commodity markets . Experience working on globally traded markets and physical commodities. Prior work on Beacon , Athena , Quartz , or similar risk platforms. Knowledge of risk metrics (VaR, CVaR) and regulatory frameworks. Understanding of derivatives pricing , volatility modeling, and scenario analysis. Domain (Industry) Gas Energy & Trading Work Location Any DC offshore Mode of Interview- Telephonic/Face to Face/Video Interview Video Interview and Face to Face WFO / WFH / Hybrid Hybrid Shift Details (Time) UK Shift Location- Any Infosys Office location Yrs of Exp-5+Yrs ",
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