Victor Ayebameru wins WorldQuant contest as registrations nearly double
The Nigerian student topped WorldQuant’s global quantitative research championship. Organisers credit AI with widening access, but have not measured its contribution to registration growth.
WorldQuant announced on October 7 that Victor Ayebameru, a student at Nigeria’s Adekunle Ajasin University, had won its 2026 International Quant Championship following finals in Singapore on October 6–7. Registrations nearly doubled to about 156,000, widening the field in a competition that can lead to consideration for quantitative finance jobs.
Reuters describes Ayebameru as having taught himself quantitative finance. His first-place finish came in the sixth edition of the competition, which challenges entrants to build mathematical models that forecast price movements across financial instruments. WorldQuant and Reuters link broader participation to easier access to artificial intelligence tools, although neither quantifies AI’s contribution to the increase.
WorldQuant registrations approach twice the 2025 total
About 156,000 people registered this year, compared with roughly 80,000 in 2025, according to WorldQuant figures reported by Reuters. That represents an increase of approximately 95%, calculated from rounded totals. WorldQuant’s results announcement also puts participation in 2024 at about 38,000, showing that the contest’s rapid expansion extends across more than one year.
More than 40,000 women participated, and approximately 28% of participants came from Africa, WorldQuant chief strategy officer Nitish Maini said. Those figures describe the broader competition field, rather than the finalists alone. They remain organiser-reported statistics; the Reuters report does not present an independent audit of registrations.
The Singapore finals brought together 13 teams representing 13 universities across four continents. Second place went to Ziming Xu of Fudan University in mainland China, and third place to Chang Yen Tsai of National Taiwan University in Taiwan, according to WorldQuant. The finalists’ academic backgrounds included computer science, mathematics, engineering and economics.
What the championship’s models were judged on
In its results announcement, WorldQuant said finalists developed and presented new models in a live challenge before a panel of the firm’s leaders. The company calls these models “alphas”: mathematical models that seek to predict future price movements in financial instruments.
The competition runs through WorldQuant BRAIN, a web-based simulation environment. Finalists were evaluated on the originality, quality and diversification of their models. Those judging criteria establish what the contest rewarded; the published results do not provide a record of realised trading profits or an independent assessment of Ayebameru’s winning model.
Competitors had the chance to win from a $100,000 prize pool, subject to eligibility, WorldQuant said. That figure covers the pool and does not establish Ayebameru’s individual payment. Neither the company announcement nor the Reuters report specifies his eventual prize amount or provides verified information about his live trading performance.
AI’s role in wider participation remains unmeasured
Reuters reports that easier access to AI tools has helped students from different backgrounds develop trading algorithms. WorldQuant also reported a notable increase in solo participation. The published accounts, however, give no numerical breakdown of solo entries and no measured AI adoption rate among participants.
WorldQuant founder and chief executive Igor Tulchinsky said AI tools allow an individual to work at a scale that once required a team. He also stressed the importance of researchers’ judgment: “However, these tools do not decide which questions matter.” The company’s account emphasises selecting meaningful problems and evaluating ideas rigorously.
The registration totals show a larger competition, but the reports provide neither a comparison group nor a method for isolating AI’s effect on that growth. They also do not establish which AI tools Ayebameru used. The evidence therefore supports an attributed explanation of broader access, without measuring how much of the expansion AI caused.
Recruitment opportunities in a growing quant industry
Reuters identifies WorldQuant as a spin-off of Millennium Management and describes quantitative trading competitions as increasingly important recruiting grounds for major hedge funds. WorldQuant says leading championship participants may be considered for research consulting roles, internships or full-time positions. Those are potential opportunities; the announcement does not guarantee appointments or establish Ayebameru’s subsequent employment.
The industry backdrop is one of expanding assets. Reuters, citing With Intelligence, reports that hedge-fund firms managing more than $1 billion held combined assets of $4.05 trillion at the end of 2025, up more than 19%. Quant-focused funds recorded average asset growth of 30% that year. These are historical asset figures, not October 2026 totals or measures of investment returns, and they do not establish that AI drove the growth.
Sources and context
- AI use lifts participation in WorldQuant contestCNA / Reuters
- WorldQuant Announces Winners of the 2026 International Quant ChampionshipWorldQuant
AI-assisted article checked against the listed sources. NewsJaws did not conduct interviews or attend the reported events.
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