I am a Rwandan statistician and MSc Financial Engineering candidate using Python, quantitative finance, and economic research to explore how capital markets can support Rwanda's long-term development.

My central question is:

How can a deeper, safer, more liquid, and more inclusive Rwanda Stock Exchange mobilize savings, finance productive investment, and strengthen the Rwandan economy?

I am building reproducible, policy-oriented financial models that can help:

• improve market liquidity and price discovery;
• broaden investor participation;
• strengthen portfolio and systemic-risk analysis;
• support long-term financing for Rwandan businesses;
• translate complex financial evidence into practical policy options.

• Python for financial-data engineering and visualization
• Financial econometrics and time-series modeling
• Derivative pricing and stochastic modeling
• Machine learning and deep learning for finance
• Portfolio optimization and asset allocation
• Market, credit, liquidity, and systemic-risk analysis
• Scenario analysis and model-risk governance

An open financial-engineering research program examining liquidity, concentration, volatility, investor participation, portfolio risk, and the economic-development potential of Rwanda's capital market.

• MSc Financial Engineering candidate
• Foundations of Financial Engineering Certificate — 86%
• Derivative Pricing — 92%
• Financial Data — 91%
• Financial Econometrics — 87%
• Stochastic Modeling — 87%

I aspire to contribute to institutions working at the intersection of capital markets, financial stability, development finance, and inclusive economic growth—particularly in Rwanda and other emerging and frontier economies.

Building smarter models, asking better questions, and engineering markets that serve people. 🇷🇼✨