AI Boosts Record Participation in WorldQuant’s Global Quant Contest
Artificial intelligence is driving a new wave of participation in quantitative trading competitions, with hedge fund WorldQuant reporting record turnout for its annual International Quant Championship (IQC). The firm said over 80,000 university students joined the 2025 contest—double the number from last year—as AI tools made developing trading models more accessible.
AI Levels the Playing Field for Aspiring Quants
WorldQuant founder and chairman Igor Tulchinsky said the widespread use of AI and language models has allowed more students to compete independently. “The interesting difference this year was that a lot of teams had only one person,” he told Reuters. “A lot of people are using AI and language models to help them.”
According to Tulchinsky, participants are increasingly deploying AI agents capable of reading financial documents, evaluating strategies, and running simulations without human input. This reflects how machine learning and automation are reshaping the skillsets needed in the hedge fund industry.
Global Winners Reflect Expanding Reach
The IQC, organised by WorldQuant—a major quantitative fund spun off from Millennium Management—challenges students to build mathematical models predicting asset price movements. This year’s top prize went to MinKyeom Kim from the Ulsan National Institute of Science and Technology in South Korea. Other winners hailed from India, Kenya, and Taiwan, underscoring the competition’s growing international reach.
Quant hedge funds have seen robust growth in 2025, with those managing over $1 billion adding $44 billion in assets during the first half of the year, according to With Intelligence data. Strong returns and rising investor inflows are fuelling demand for new quantitative talent—many of whom are now discovered through competitions like the IQC.
WorldQuant’s Push Toward Agentic AI Systems
Tulchinsky said his firm is investing heavily in “agentic systems”—autonomous AI frameworks capable of analysing markets and making trading decisions independently. WorldQuant’s long-term goal is to deploy one million AI agents over the next few years, a move that could redefine how data-driven investment strategies are developed and executed.
The surge in AI-driven participation reflects a broader transformation in finance, where technology is empowering individuals to compete at a global level and accelerating the pace of quantitative innovation.
with inputs from Reuters
