SIG is a global quantitative trading firm founded in 1987 that applies quantitative methods, game theory, and machine learning to financial markets. The firm trades nearly around the clock through a network of offices spanning multiple continents, maintaining continuous market presence across time zones. Founded by a group of college friends including Jeff Yass and Arthur Dantchik, SIG has built its operations around the principle that collaborative teams of skilled professionals outperform individuals working in isolation.
The firm's approach centers on advanced quantitative research, data analysis, and algorithmic trading strategy development, with particular emphasis on decision-making under uncertainty. SIG's technical domains include game theory applications, machine learning implementations, and what the firm describes as poker-style strategic analytical thinking - frameworks borrowed from competitive games to inform market positioning and risk assessment. This methodology guides how researchers, engineers, and traders work side-by-side to develop and execute trading strategies across diverse financial instruments.
SIG's organizational culture emphasizes intellectual rigor and continuous learning in fast-paced market environments. Teams approach problems through collaborative refinement of analytical frameworks rather than hierarchical decision-making structures. The firm incorporates board games and strategic activities into its culture, reinforcing the analytical and collaborative skills that underpin its trading operations. This environment attracts professionals motivated by complex problem-solving at the intersection of mathematics, technology, and market dynamics.