• Investigated correlations between macroeconomic factors and the bank’s portfolio positions, such as the impact of Fed rate cuts on unrealized portfolio losses. Applied linear regression and correlation analysis to reassess key assumptions and improve the predictive accuracy of financial models in QRM.• Designed and maintained Power BI dashboards to effectively visualize monthly positions of fixed-income investments across Canada, the US, and global markets. Monitored equity exposures and P&L, enabling data-driven strategic decisions in structural market risk management.• Monitored daily movements in CORRA and SOFR to manage portfolio exposures and ensure adherence to risk limits. Collaborated with traders to optimize derivative strategies, such as interest rate swaps, to effectively hedge against interest rate risks.• Conducted a comprehensive annual evaluation of key risk metrics, including Economic Value of Equity (EVE), PV01, and Value at Risk (VaR), across various portfolios. Combined quantitative and qualitative approaches to strengthen risk assessment processes, guiding strategic decisions to optimize risk profiles.

• Statistical Analysis: Applied statistical techniques to identify patterns, anomalies, and outliers in datasets, ensuring product quality within specified tolerance levels during QA testing processes.• Data Manipulation: Demonstrated proficiency in utilizing Python libraries (e.g., Pandas, NumPy) and database querying tools (e.g., SQL) to extract, transform, and analyze large volumes of structured and unstructured data in SAP data management for QA purposes.• Cross-functional Collaboration: Investigated root causes of high defect rates in products through nonconforming product reports, effectively communicating findings to relevant departments and non-technical stakeholders, facilitating informed decision-making processes.

• Process Automation: Designed a Python application enhancing team productivity, reducing manual tasks by approx. 20 hours/month, and introduced VBA macros for further improvement in efficiency.• Report Generation: Retrieved daily reports from a relational database using SQL, troubleshooting queries and formatting as needed. Meticulously completed and reviewed multiple tax reports using Excel and macros.