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| 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.
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| 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 |
