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Path to Becoming a Quantitative Analyst in Finance

Akshat S.Learniverser
Finance
4.5 (450 reviews)

Beginner

5 Lessons

Overview

Objectives

  • Build a simple trading bot using if-else statements in Python
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Content

  • Linear algebra and calculus
  • Probability and statistics
  • Introduction to programming (Python or R)
  • Basic data structures and algorithms

  • Financial markets overview
  • Instruments and products (stocks, bonds, derivatives)
  • Market mechanics and participants
  • Risk and return fundamentals

  • Quantitative research methods
  • Time series analysis
  • Portfolio theory
  • Basic risk management concepts

  • Strategy development process
  • Backtesting and evaluation
  • High-frequency trading strategies
  • Machine learning in trading

  • Advanced machine learning (deep learning, reinforcement learning)
  • Complex derivatives pricing models
  • High-performance computing
  • Behavioral finance