Computer Science
Facility
Where finance meets engineering. Equip yourself with the quantitative tools and programming skills required to excel in modern algorithmic trading.
Curriculum Pillars
Our CS facility bridges the gap between traditional discretionary trading and modern quantitative analysis.
Algorithmic Trading
Learn to build automated trading systems using Python and C++ to execute strategies 24/7.
Data Engineering
Master the handling of massive historical tick data, building robust pipelines for backtesting.
Machine Learning
Apply advanced predictive models to financial time series to identify hidden market patterns.
Blockchain & DeFi
Understand the technology underpinning decentralized finance and smart contract integration.
Industry-Standard Stack
You won't just learn theory. You will get hands-on experience building infrastructure using the same technologies deployed by top hedge funds in New York and London.