Ai Risk Management Researcher
• Developed synthetic stock data for S&P 500 companies with a Time GAN machine learning algorithm in Python, enhancing risk factor analysis and enabling macroeconomic scenario analysis for AI risk management• Created an interactive Streamlit interface to visualize and analyze synthetic data distributions across company sectors, improving user engagement and simplifying complex financial insights for scenario analysis• Utilized quantitative, data science, and AI techniques on real financial data including financial ratios, ESG metrics, and portfolio holdings data to gain practical experience for roles in quantitative analysis and data science within the investment industry