Q

OUR MISSION

About Our Club

Our mission is to educate and prepare students for careers in quantitative finance through educational workshops, mentopship, industry connections, and collaborative projects

Who We Are

Founded in 2021 by a group of math and computer science students, our club has grown from a small study group into one of the university's premier professional organizations. We've established partnerships with leading financial institutions and have alumni working at top firms across the globe.

What We Offer

Industry-Relevant Skills

Gain practical experience with the tools, models, and methods used by quantitative developers and traders in the industry.

Professional Network

Connect with alumni and industry professionals through our extensive network of partners and guest speakers.

Collaborative Environment

Work alongside like-minded peers on challenging projects that simulate real-world quantitative research and trading.

Career Preparation

Receive guidance on resume building, interview preparation, and gain direct access to industry recruiters.

10-Week Curriculum

Week 1: Intro to Quantitative Finance
Week 1
Overview of financial markets, quant workflow, and basic techniques

Topics:

  • Algorithmic trading
  • Data sources and APIs
  • Distribution theory
  • Basic trading strategies
Week 2: Backtesting Strategies
Week 2
How to test, analyze, and improve trading strategies

Topics:

  • Importance of backtesting
  • Common pitfalls
  • Types of backtesting
  • Performance metrics
Week 3: Statistical Arbitrage
Week 3
Exploiting mispricing in financial markets

Topics:

  • Pairs trading
  • Spread modeling
  • Asset types
  • Advanced methods
Week 4: Alpha Factors
Week 4
Discovering and analyzing alpha in financial markets

Topics:

  • What is alpha?
  • Factor modeling
  • Alpha research
  • Portfolio construction
Week 5: Options and Derivatives
Week 5
Understanding and pricing financial derivatives

Topics:

  • Options fundamentals
  • Black-Scholes model
  • Greeks and risk measures
  • Implied volatility
Week 6: Volatility Modeling
Week 6
Estimating and forecasting financial volatility

Topics:

  • What is volatility?
  • Estimation
  • Forecasting models (GARCH, etc.)
  • Applications
Week 7: Portfolio Optimization
Week 7
Modern portfolio theory and optimization techniques

Topics:

  • Foundations of risk and return
  • Mean-Variance optimization
  • Efficient frontier
  • Sensitivity and limitations
Week 8: Risk Management
Week 8
Measuring and managing financial risk

Topics:

  • Types of financial risk
  • Value at Risk (VaR)
  • Conditional Value at Risk (CVaR)
  • Regime detection
Week 9: Recruiting
Week 9
Preparing to recruit for quantitative finance roles

Topics:

  • Quant roles and employers
  • Interview process
  • Student to-dos
  • Prep resources
Week 10: Capstone Project
Week 10
Apply learned concepts to a comprehensive trading strategy

Topics:

  • Strategy design
  • Implementation
  • Backtesting and optimization
  • Performance analysis