If you are interested in trading, markets, or quantitative research in crypto, we will probably get along.
I study Mathematics and currently work as a Quantitative Research Intern analysing blockchain markets and trading behaviour. My goal as Head of Trading is to help make Blockchain Society a place where members can genuinely learn how crypto markets work and how trading strategies are built.
What have I done?
I currently work as a Quantitative Research Intern analysing more than 400,000 blockchain transactions using Python and statistical methods to study liquidity flows, market microstructure, whale activity, and arbitrage behaviour across crypto markets.
Alongside this, I lead a quantitative research team working on systematic trading strategies, overseeing alpha discovery, backtesting, and portfolio simulations.
I also supervise research students at Imperial’s Mathematics Department, teaching topics such as market microstructure, time series trading strategies, and derivatives pricing.
What will I do?
- Launch a Crypto Trading and Research programme with structured sessions on crypto market structure, DeFi, and derivatives.
- Introduce data driven research projects analysing blockchain transactions and market behaviour.
- Run trading strategy workshops teaching how to design and backtest strategies using Python.
- Create a crypto markets lecture series covering topics such as market making, MEV, arbitrage, and on chain analytics.
- Organise trading competitions with simulated trading challenges and leaderboards.
My goal is to make Blockchain Society a place where members do not just talk about crypto, but actually understand how these markets work and how trading strategies are built.