Credit Risk Modeling & Data Processing: Developed and Automated credit risk models using PD, LGD, and EAD methodologies, VaR measurement and stress testing simulations. Reducing processing times by 50% and enabling faster identification of emerging risks.
Data visualization: Produced daily analysis of risk, P&L reports and visualizations for senior management using Python, Databricks and Power BI, enhancing the decision-making process and future investment steps.
Cross-Functional Collaboration: Collaborated with FP&A and Fraud departments to identify loss risks, resulting in a 20% improvement in fraud detection and risk mitigation strategies.
Stakeholder Engagement: Communicated effectively quantitative results graphically of balance and loss models, delivered dashboards and impactful analysis to stakeholders and advised in future steps.