Finance

Quantitative Researcher / Trader

An intensive curriculum covering quantitative finance, stochastic calculus, risk models, trading strategies, market microstructure, and implementation in Python/C++. Build the skills to succeed in quantitative trading.

13 modules across 5 stages50 hours of content

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Course curriculum

Stage 1

Pre-Foundations

1
Is Quantitative Trading Right for You?
120 min

Stage 2

Foundations

1
Mathematical Foundations
300 min

2

Stochastic Calculus & Financial Math

300 min

3

Programming for Quants

240 min

Stage 3

Core Competencies

1
Quantitative Trading Strategies
360 min
2
Risk Models & Management
300 min
3
Market Microstructure
240 min

Stage 4

Execution Mastery

1
Backtesting & Strategy Validation
300 min
2
Execution & Trading Systems
240 min
3
Derivatives & Options Trading
240 min

Stage 5

Specialization

1
High-Frequency Trading
300 min
2
Machine Learning for Trading
300 min
3
Crypto & DeFi Quantitative Trading
240 min