SMU's Premier Quantitative Finance Club

Traders@SMU is the premier trading and financial markets club at Southern Methodist University. We're dedicated to educating and empowering students interested in trading, investing, and financial markets.

about us

Traders@SMU

Traders@SMU is the premier student-led organization at Southern Methodist University dedicated to fostering knowledge and skills in trading and financial markets. Founded with the mission to bridge the gap between classroom theory and real-world practice, we provide our members with hands-on trading experience, educational workshops, and networking opportunities with industry professionals.

About Us
Club Advisor

Amar Gande

Dr. Amar Gande is an Associate Professor of Finance at SMU’s Cox School of Business, having previously taught at Vanderbilt, and holds a PhD in Finance from NYU. His work focuses on financial institutions, corporate finance, and international finance, with award-winning research published in leading journals such as the Journal of Finance, Journal of Financial Economics, and Review of Financial Studies, and he serves on the editorial board of the Journal of International Business Studies. Before academia he worked in corporate banking and trade finance at Citibank in India, and he also holds an MBA from IIM Calcutta and a BTech in Mechanical Engineering from IIT Madras.

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SECTORS

Multi-Strategy Sector Structure


Traders@SMU is structured like a multi-strategy hedge fund. Members join one of three sectors and work on strategies that focus on trading, portfolio building, or research. Portfolio Managers delegate and lead each sector; new members start as analysts and take on more model and risk ownership as they progress.

Commodities

Different commodities such as and not limitied to, natural gas, oil, power, and agriculture. Focused on intensively knowing what drives the underlying product, how to price and trade it. Emphasis on research, data analysis, and optimization methods.

Statistical Arbitrage

Special situations and relative-value trades around corporate actions, index changes, special markets (prediction) and pairs. Data-intensive spread analysis, mispricing detection, and backtesting.

Quantitative Strategies

Systematic, data-driven strategies across equities, futures, and options. Heavy Python, math, and signal research, including non-linear mean reversion and other advanced methods.

Mission

Our Approach

/ 01

Educate

We provide comprehensive workshops and seminars on trading strategies, market analysis, and financial instruments.

/ 02

Practice

We offer hands-on experience through simulated trading competitions and real-time market analysis sessions.

/ 03

Connect

We facilitate networking opportunities with industry professionals, alumni, and like-minded peers.