Scrum Master & Data Analyst
• Credit Risk Engine Implementation: Led the implementation of the Credit Risk Engine, a system crucial for calculating risk-weighted assets and expected credit loss, Which allowed the bank to utilise $500 million dollars that were set aside to cover exposure. Ensured the project was delivered on schedule, meeting all key milestones. • Data Validation: Conducted comprehensive data validation for all inputs into the Credit Risk Engine. The data consisted of 110'000 contracts that involved loans and their respective collateral. This involved meticulous verification of data points critical to the bank’s operations, ensuring data accuracy and reliability.• Solution Design Documentation: Authored a detailed solution design documents for the Credit Risk Engine. Which was a 120 page document providing a clear and structured framework for the project.