Python Data Analyst (Financial Domain)

Python resource with strong experience in financial data processing, validation, and reporting. The role focuses on handling large datasets, ensuring data accuracy, and building scalable validation frameworks, with future scope for dashboard development. Location : Tanjong Pagar Key Skills • Strong Python programming • Hands-on with Pandas for large dataset handling (DataFrames) • Experience with openpyxl for Excel automation • Good understanding of SQL and data validation techniques • Exposure to Streamlit (good to have) Domain Experience (Mandatory)• Banking / Financial Services / Capital Markets • Experience in:Data reconciliationFinancial reportingTrade / transaction data validation Key Responsibilities• Validate and process high-volume financial data using Python • Automate Excel-based reporting and reconciliation • Identify data inconsistencies and implement validation rules • Support development of dashboards (future scope) Outcome Focus• Improved data accuracy and compliance • Reduced manual effort through automation • Scalable data validation framework for financial systems