Python Risk Engineer

Key Responsibilities

• Risk Engine Development: Design build and maintain scalable risk platforms valuation engines and P&L attribution frameworks using & Integration: Build and support robust REST APIs that interface internal scenario eng
• Model Implementation: Translate complex quantitative risk models (e.g. Credit Risk Market Risk and Greeks) from prototypes or spreadsheets into optimized production-level libraries.
• Data Pipelines & Automation: Create automated ETL workflows to ingest clean and process massive financial datasets and real-time market data.
• Database Management: Write optimize and maintain complex SQL queries to interact with transactional and historical data layers.
• Cross-Functional Collaboration: Partner with the business risk managers and quants to convert complex scenario testing and risk workflows into technical requirements.

Required Technical Skills

• Financial Background: 4 years of professional experience working within financial services investment banking hedge funds or asset management environments.
• Core Python Expertise: Advanced proficiency in writing clean modular and performant Python code (Object-Oriented Programming concurrency memory optimization).
• Data Management: Strong knowledge of SQL relational databases (PostgreSQL SQL Server) and experience managing large financial datasets.
• Development Tools: Proficiency with Git version control CI/CD pipelines and writing comprehensive unit tests.
• System Architecture: Understanding of backend frameworks (like FastAPI or Flask) and system performance optimization techniques.
• Open for both Hong Kong and Singapore Applicants.