Workshop – Business Administration I, Room 0221
Python for Quantitative Finance Workshop
An introduction to Python and Jupyter for analyzing financial data.
Events
Workshops, guest speaker events, recruiting events, general meetings, and more.
Upcoming
Competition – TCH, Room 0201
Quant Competition Night
Compete individually or in teams through a series of quantitative challenges inspired by trading firms and quantitative competitions.
Workshop – Business Administration I, Room 0221
Probability for Quantitative Finance Workshop
An introduction to the probability concepts used in risk, pricing, simulation, and portfolio analysis.
Research – TCH, Room 0201
Alpha Research and Backtesting Workshop
Learn how quantitative researchers move from a market hypothesis to a testable trading signal and evaluate whether the signal contains useful information.
Workshop – Business Administration I, Room 0221
Returns, Risk, and Volatility Workshop
Move from raw price data to the measures used in empirical financial analysis.
Research – TCH, Room 0201
Quant Research Workshop
Explore how rigorous quantitative research is designed and how to distinguish meaningful results from statistical noise.
Research – Business Administration I, Room 0221
Journal Club
Learn how to read quantitative finance research critically.
Competition – TCH, Room 0201
Trading Simulation Night
Compete in an interactive trading simulation where teams respond to changing information, quote markets, manage positions, and attempt to maximize risk-adjusted profits.
Workshop – Business Administration I, Room 0221
No-Arbitrage Workshop
Use replication and no-arbitrage reasoning to understand option pricing.
Workshop – TCH, Room 0201
Options and Derivatives Problem Session
Apply derivatives and no-arbitrage concepts through quantitative problems involving options, replication, and pricing relationships.
Workshop – Business Administration I, Room 0221
Portfolio Construction Workshop
Apply expected returns, variance, covariance, and correlation to portfolio construction.
Competition – TCH, Room 0201
Quant Research Challenge
Work in teams to develop a quantitative trading or investment hypothesis and present how it could be tested using real financial data.
Meeting – Business Administration I, Room 0221
Why Black–Scholes Works (and Doesn’t)
Derive the Black–Scholes framework from no-arbitrage reasoning and examine why it remains useful despite unrealistic assumptions.
Recruiting – TCH, Room 0201
Mock Quant Interviews
Practice quantitative research and trading interviews in a structured environment and receive feedback on reasoning and communication.
Workshop – Business Administration I, Room 0221
Market Microstructure Workshop
Examine how markets process orders and why theoretical strategy returns differ from realized trading returns.
Competition – TCH, Room 0201
Quant OA Competition
Test your skills under time pressure with a simulated quantitative finance online assessment and compare your performance with other participants.
Meeting – Business Administration I, Room 0221
When Models Fail: Quant Finance Case Studies
Examine notable quantitative finance failures, identify which assumptions broke down, and consider how better research and risk controls could have changed the outcome.
Competition – TCH, Room 0201
Quant Challenge Night
Finish the semester with a team-based competition combining problems from across quantitative finance, trading, mathematics, and recruiting.
SocialTBDTBD
End-of-Semester Social
Wrap up the fall semester with the Quantitative Finance Club.
Info SessionTBDTBD
Spring Kickoff
Welcome new and returning members and outline the club’s plans for Spring 2027.
WorkshopTBDTBD
Research Design and Backtesting Workshop
Learn how to construct a backtest that avoids common sources of bias.
MeetingTBDTBD
Factor Models
Use factor models to explain returns, measure portfolio exposures, and construct systematic strategies.
WorkshopTBDTBD
Cross-Sectional Strategies Workshop
Learn how to construct and evaluate a strategy that ranks securities relative to one another at a given point in time.
MeetingTBDTBD
Fixed Income Primer
Compare fixed-income instruments, risks, and quantitative relationships with their equity-market counterparts.
WorkshopTBDTBD
Financial Time-Series Models Workshop
Build and evaluate time-series forecasts for financial data using a walk-forward process.
ResearchTBDTBD
Journal Club
Evaluate empirical quantitative finance research with attention to design, evidence, and economic significance.
WorkshopTBDTBD
Systematic Strategy Development Workshop
Combine earlier material from the semester into a complete, reproducible research pipeline.
MeetingTBDTBD
Risk Management
Examine how strategies and portfolios are managed when estimates are unreliable, market relationships change, and model assumptions fail.
WorkshopTBDTBD
Machine Learning for Finance Workshop
Examine how machine learning can be used in financial research, with an emphasis on validation, baselines, and noisy data.
WorkshopTBDTBD
Robustness and Performance Evaluation Workshop
Test whether a strategy result is stable, economically meaningful, and likely to persist outside its original backtest.
SocialTBDTBD
End-of-Semester Social
Wrap up the spring semester with the Quantitative Finance Club.
Past
Workshop – TCH, Room 0201
Quant Interview and OA Problem Session
Work through problems representative of quantitative finance online assessments and technical interviews, with an emphasis on problem-solving approaches.
Speaker – Business Administration I, Room 0221
Options and Derivatives Workshop
Learn about options and derivatives with guest speaker Shashank Mishra, SAP S/4 Treasury Lead.
Recruiting – TCH, Room 0201
Quant Finance Career and Recruiting Kickoff
Learn what careers in quantitative finance look like and how to prepare for recruiting.
Meeting – Business Administration I, Room 0221
Financial Markets Primer
An introduction to the instruments, institutions, and participants that shape financial markets.
Info Session – Live Oak Ballroom, Room A
Introduction to the Quantitative Finance Club
Welcome prospective and new members, introduce the club, and outline what members can expect throughout the semester.