Opportunity brief
About WorldQuant and WorldQuant BRAIN: Headquartered in the US, WorldQuant is a quantitative asset management firm founded in 2007 with over 1000 employees spread across 27 global offices. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform. These signals are employed in financial strategies across a variety of asset classes and global markets. IQC: A Global Quantitative Finance Modeling Competition Are you the next Quant Champion? Break into the world of quantitative finance and sign up for WorldQuant BRAIN's International Quant Championship - a Global Quantitative Finance Modeling Competition. Key Details: IQC is a global, three-stage, team-based quantitative finance competition. Participants start by forming teams of 1-4 teammates from the same university and compete across the various stages by developing and backtesting Alphas * on BRAIN, WorldQuant's Simulation platform If the team scores well, its members will have the opportunity to compete in the designated finals for their respective country, territory, or region — and potentially in the global championship, which is expected to be held in person in Singapore in September** Top-scoring teams may be eligible to win cash prizes from a pool of up to US$100,000, subject to eligibility** WorldQuant is always on the lookout for talent, and certain eligible participants who score well in the IQC may be considered for research consulting, internship, or full-time employment opportunities. *Alphas are mathematical models that seek to predict the future price movements of various financial instruments. **Please refer to the official guidelines for all rules and restrictions Eligibility*: Anybody above the age of 18 can apply Certain individuals (e.g., WorldQuant employees, past winners, BRAIN Research Consultants) cannot participate. *Please refer to the official guidelines for all rules and restrictions. How to Participate: Step 1: You must register on the Unstop platform to access the competition URL. Note: Individual team members can register on Unstop and WorldQuant BRAIN. Teams can be formed directly on the BRAIN platform Step 2 : Sign up - Sign up or sign into your account on our WorldQuant BRAIN platform: Create a BRAIN account . This step has to be done individually by each team member. Step 3 : Team up - Form a team of 1-4 members from your university. You can invite other IQC registrants to join your team on the BRAIN platform. Step 4 : Learn - Access our free learning videos and documentation about quant finance research and modelling. Step 5 : Compete - Increase your score by submitting Alphas* on BRAIN using historical financial market data and predefined operators. *Alphas are mathematical models that seek to predict the future price movements of various financial instruments." Rewards & Prizes*: Cash prizes from a pool of US$100,000 Stage 2 (National/Regional) Winners (Total $6,000 in each Finals): 1st place: $3,000 2nd place: $2,000 3rd place: $1,000 Stage 3 (Global Finals) Winners (Total $40,000): 1st place: $20,000 2nd place: $12,000 3rd place: $8,000 Prizes are divided equally among team members in USD currency Potential Research Consultant Opportunities, Internships and Full-Time Roles Top performers may also be invited to compete in the global finals expected to be held in Singapore in September 2026 Learn more about quantitative finance, and expand your educational and career objectives *Please refer to the official guidelines for all rules and restrictions Free Research Webinars: During IQC, learn more about quantitative finance, and expand your educational and career objectives, through our Free Research Webinars: Register here: Link Every Thursday, from 19 March – 6:30 pm IST Topic covered: - 19 Mar: Introduction about WorldQuant BRAIN and International Quant Championship 2026 - 26 Mar: Fundamental and Model Data - 02 Apr: Price Volume Data - 09 Apr: Tools & Techniques for building submittable Alphas - 28 May: Tips on Improving Merged Performance Score & D0 Alphas - 04 Jun: Options, Relationship and Vector Datafields - 11 Jun: Working with Newly Released Datasets