I'm a first-year Finance student at the University of Nottingham, passionate about quantitative finance and building data-driven solutions. I've been coding since age 11, with proficiency in Python, intermediate skills in R, and experience in frontend web development. My goal is to blend finance and technology to tackle complex problems in markets.
- Learning Quant Finance: Diving into Quantitative Portfolio Management by Michael Isichenko through hands-on Python projects, like backtesting momentum strategies and modeling mean reversion.
- Building Tools: Leading Drapt Analytics, a Python-based portfolio analytics platform with real-time risk and performance modules, featuring Monte Carlo simulations and a professional web interface.
- Competing and Analysing: Senior Industrial Equity Analyst at the Nottingham Economics and Finance Society (NEFS) Investment Fund, where I earned Outstanding Analyst (top 4/120+), and Team Risk Lead in the WBSS Investment Challenge, utilising Drapt Analytics to secure us a spot in the finals, placing top 5 out of 80+ teams nationally.
- Road to Quant: A self-directed journey into quant finance with Python notebooks on momentum trading, corporate actions, and risk metrics. Currently being actively maintained, with additional mini-projects on the way!
- Drapt Analytics: Developing a portfolio analytics tool with risk modules (e.g., volatility analysis, VaR, Monte Carlo stress tests), and a professional web interface. Currently inactively maintained.
- Languages: Python (Pandas, NumPy, statsmodels), R, HTML/CSS/JavaScript
- Tools: Jupyter Notebook, Git, Bloomberg, Excel
- APIs: Polygon.io, Yahoo Finance
- LinkedIn | Email
- Exploring quant trading and research opportunities — let's chat about markets or code!
- I’ve live-traded FX and silver spot since age 15 using technical and macro analysis.
- Avid skier, hiker, and gym-goer who loves cooking.
Last updated: May 2025