Specialist Software Engineer (Societe Generale) - AI/data quality tooling via Python
Built and engineered automated data validation and risk analysis reporting solutions using Python to reduce debugging and quality control time. This work involved developing data validator logic that effectively labels/flags invalid or anomalous inputs for downstream processing. The solutions supported anti-fraud and market abuse control contexts by improving data quality and operational reporting. • Reduced debugging and quality control time by 80% via an automated Python Data Validator Tool. • Streamlined risk analysis time by 75% using end-to-end automated Key Risk Indicator reporting. • Engineered a PostgreSQL DB report generator to accelerate financial control changes. • Supported operational efficiency through automation and data quality improvements.