Quantitative Data Analyst Python Risk

Contract Quantitative Data Analyst - Product Control Location: London (2-3 days per week in the office)Contract: 6 months, inside IR35Purpose:Enhance Risk-Based P&L Explain coverage and validation.Develop automated tools to analyze and resolve validation issues, with a strong emphasis on Python development.Prioritize and address key issues with IT.Key Responsibilities:Analyze Step Reval and Risk-Based results to identify and correct issues.Create tools using Python to detect errors affecting P&L Explains.Maintain best practices and user guides for P&L accuracy.Design decision-making tools for accurate P&L figures.Monitor production quality and validation of P&L Explain results.Collaborate with P&L, IT, and Quantitative Research teams.Organize training sessions as needed.Qualifications:Experience in Front Office, Research, control, or project functions within an investment bank.Masters degree in Engineering, Mathematics, Physics, or financial markets.Understanding of asset classes in Global Markets.Knowledge of derivative pricing and risk factors (the "Greeks").Strong communication skills.Proficiency in Python, Excel, VBA, Word, and PowerPoint.Fluent in English.