Quantitative Trading Career Path

Turn your Python skills into trading strategies while mastering the math, probability, and interview prep needed to land quant roles at top firms. * **Core math & probability**: master concepts tested in quant interviews * **Algorithmic strategy development**: design and backtest real trading models * **Python for quant finance**: turn market data into actionable signals * **Portfolio-ready capstone project**: showcase live strategies to top-tier firms

8 sections ยท 24 lessons

Course outline

Math Foundations

  1. Probability Basics
  2. Expected Value
  3. Linear Algebra
  4. Calculus Essentials

Quant Python

  1. Pandas Data
  2. NumPy Arrays
  3. Data Visualization

Market Mechanics

  1. Order Books
  2. Market Making
  3. Asset Pricing

Strategy Research

  1. Trend Following
  2. Statistical Arbitrage
  3. Machine Learning

Backtesting Systems

  1. Event Engines
  2. Transaction Costs
  3. Performance Metrics

Risk Management

  1. Position Sizing
  2. Value Risk
  3. Hedging Tactics

Interview Mastery

  1. Brain Teasers
  2. Mental Math
  3. Market Scenarios

Capstone Project

  1. Pipeline Design
  2. Strategy Showcase

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