🎓 MSc in Financial Mathematics from Sussex University (2024), with a BSc in Mathematics.
💻 I’m passionate about quantitative finance, algorithmic trading, and mathematical modeling, combining advanced mathematics with programming to solve real-world financial problems.
- Focused on launching a career as a Quantitative Developer in fintech startups or hedge funds.
- Interests include algorithmic trading, derivative pricing, portfolio optimization, and time-series modeling.
- Currently building a portfolio of Python, R, Matlab, and C# projects that demonstrate applied quantitative finance and computational techniques.
- Quantitative Finance: Monte Carlo simulations, derivative pricing, portfolio optimization, time-series modeling
- Tools: Jupyter, Git, Excel, LaTeX
- Monte Carlo simulation for option pricing
- Portfolio optimization dashboard using real market data
- Time-series analysis and forecasting for financial markets
(Projects are in progress and will be linked as they are completed)
- LinkedIn: linkedin.com/in/callyn-david-2228041b1
- Email: callyndavid@gmail.com
- GitHub Portfolio: github.com/Gfalcon97
“Bridging mathematics, markets, and technology — one model at a time.”