I have 16+ years of experience in portfolio analytics, investment risk, and data quality within the asset management industry. My work spans designing risk & returns analytics data products, building quality control frameworks for multi-asset class portfolios, and leading platform modernization initiatives. I specialize in performance attribution, anomaly detection, data governance, and bridging the gap between quantitative models and scalable data delivery. I'm skilled in Python, SQL, and Power BI, and have a strong track record of collaborating across modelling, engineering, and operations teams. On Topmate, I'm here to help finance and data professionals with resume reviews, interview prep for risk & analytics roles, and career transition advice — especially for those moving from traditional finance into data or fintech.