Key Responsibilities ? Develop and maintain Python applications for market risk analysis and reporting. ? Integrate risk models and data pipelines with internal systems and databases. ? Automate data extraction, transformation, and loading (ETL) processes. ? Collaborate with quantitative analysts to implement and validate risk models (e.g., VaR, stress testing). ? Optimize performance of large-scale data processing and analytics tasks. ? Write clean, testable, and well-documented code following best practices. ? Support ad-hoc risk analysis and reporting requests from stakeholders. Core Competencies ? Excellent problem-solving skills and attention to detail. ? Strong communication and collaboration skills. Required Qualifications ? Bachelor?s or Master?s degree in Computer Science, Engineering, Mathematics, Finance, or a related field. ? 3+ years of experience in Python development, preferably in a financial institution. ? Understanding of financial markets and market risk concepts (e.g., VaR, sensitivities, risk factors). ? Experience with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Plotly). ? Familiarity with SQL and working with large datasets. ? Knowledge of version control systems (e.g., Git) and CI/CD pipelines.
