Muhammad Najam Uz Zafar

I am a quantitative analyst with a BS in Computational Finance from NED University, focused on financial modelling, risk management, and data-driven valuation. I blend academic training in econometrics, derivatives, and numerical methods with practical experience building benchmark frameworks and analytic backends. At OfficeField I developed a fundamental benchmarking framework to score companies across categories, created KPIs for analysts, and reviewed analytic product backend logic to resolve discrepancies. As an actuarial intern at SHMA Consulting, I built foundational knowledge in insurance products and actuarial reserving to support solvency calculations. My projects include a Q-Learning-based real options valuation model for energy investments, a Python loan amortization tool, and a robo-advisory case study on Robinhood–GameStop; I hold certifications including CS50P and Google Data Analytics and focus on delivering accurate, actionable financial analysis.