Greater Toronto Area, Canada
I recently completed the Master of Quantitative Finance program at the University of Waterloo and am actively pursuing opportunities in risk management and quantitative analysis, with particular interests in market risk, credit risk, model risk, and financial instrument pricing. My academic and project experience has focused on quantitative modelling, simulation, data analysis, and financial risk measurement. I enjoy working with data, building structured analytical workflows, and translating quantitative results into practical insights. Through my projects and prior experience, I have worked on: ✔ Derivative pricing and hedging using Monte Carlo simulation and neural network frameworks ✔ Systemic risk measures such as CoVaR, CoES, and MES ✔ Volatility forecasting using statistical and machine learning models ✔ Data cleaning, validation, visualization, and reporting workflows ✔ Structured reporting and dashboard development using Excel and Power BI ✔ Financial analysis and interpreting financial statements such as balance sheets I also have experience supporting forecasting and reporting tasks, which strengthened my ability to communicate analytical findings clearly, prioritize work effectively, and deliver reliable outputs. Technical skills include: ✔ Python, R, SQL, Excel, Power BI ✔ Pandas, NumPy, TensorFlow, data visualization libraries ✔ Monte Carlo simulation, quantitative modelling, and model benchmarking ✔ Data analysis, statistical modelling, and reproducible research ✔ Financial risk analysis and market risk concepts I am particularly interested in opportunities where I can combine quantitative analysis, risk management, and data-driven decision making in a practical financial environment.