Python Software Developer

Job Description Python DeveloperKey Responsibilities - Python Developer 1. Application Development & UI/UX•  Design and develop full-stack web applications (frontend + backend) that visualize real-time risk metrics (Greeks, PnL, VaR, Credit Exposure) for traders and senior management.

• Create self-service reporting tools where risk managers can generate ad-hoc reports without relying on the data team.
• Experience in AWS will be added advantage. 

2. Workflow Automation•   Automate manual risk processes, such as:

• Daily EOD (End-of-Day) risk report generation and distribution.                              Qualifications

Must-Have (Hard Skills)

• Python Expertise: 4 + years of professional Python development. Deep knowledge of Django or FastAPI for backend development.
• Database Proficiency: Good experience in SQL or MS SQL Server. 
• API Design: Strong experience in designing RESTful APIs and handling asynchronous request processing.

Nice-to-Have

• Frontend Skills: Proficiency in React. 
• Cloud Platforms: Hands-on experience with AWS (especially serverless functions and managed databases).
• Commodity/Trading Domain Knowledge: Familiarity with trade lifecycles, PnL concepts, and risk metrics (even at a high level).
• Message Queues: Experience with RabbitMQ, Kafka, or Redis for real-time data streaming.
• Containerization: Experience with Docker and Kubernetes orchestration.
• Financial Libraries: Exposure to quant libraries (QuantLib) is a plus but not mandatory.
• Limit monitoring and breach alerting (email/Slack/Teams notifications).
• Data reconciliation between trading systems (e.g., CTRM/ETRM) and risk databases.
• Build approval workflow engines for credit limit increases or exception handling.

3. System Integration & Data Connectivity•  Develop robust connectors and APIs to pull trade data from ETRM systems and market data from Bloomberg/Reuters.

• Build and maintain a unified data access layer that serves cleansed, normalized risk data to all downstream applications.
• Integrate with external libraries and internal quant models (Python packages) and expose their outputs via RESTful APIs.

4. DevOps, Testing & Maintenance•  Write clean, maintainable, and well-documented code following software engineering best practices (OOP, design patterns, type hinting).

• Implement CI/CD pipelines (GitHub Actions/GitLab CI) for automated testing and deployment.
• Manage containerized deployments using Docker/Kubernetes