Pritesh Kumbhare — CEO

I am currently Vice President in the Portfolio Management division at WorldQuant, where I trade production signals that directly generate P&L for the firm. Prior to this, I was a founding member of WorldQuant Brain, where I played a key role in scaling the platform from first principles into a globally recognized ecosystem for quant research. At WorldQuant Brain, I single-handedly owned and scaled the entire dataset pipeline, enabling thousands of researchers to generate and submit alphas daily. Today, the platform supports 10,000+ active research consultants across 23 countries, including students and professionals from IITs, IIMs, and leading global institutions. These contributors build tradeable signals across 10 major global markets, and the combined output forms a meaningful and growing component of WorldQuant’s $17B AUM. I also worked on combining large volumes of weak signals using AI, machine learning, and statistical techniques to construct robust, production-grade alphas. In parallel, I have built domain-specific LLM systems in production, including an internal RAG-based copilot (“BrainGPT”) that transformed how researchers interact with complex documentation and evolving constraints at scale. More recently, I independently designed, built, and launched WinzTrade, a mobile app based on probabilistic event pricing, where I learned Flutter development, UI/UX design, and end-to-end product execution from scratch. Earlier in my Bachelors, I spent three years managing internships and placements during my undergraduate studies—helping place 800+ students across 220+ companies—an experience that deeply shaped my understanding of hiring inefficiencies from the candidate’s perspective. I am currently exploring agentic, domain-specific AI systems for hiring, starting with Marg.ai—an AI hiring copilot that works on behalf of candidates across job discovery, recruiter communication, and interview coordination. My work is driven by a consistent theme: building from first principles, translating research into production systems, and designing tools that meaningfully reduce human cognitive load.

Stackforce AI infers this person is a Fintech expert with a strong focus on quantitative research and AI-driven solutions.

Location: Singapore, Singapore

Experience: 9 yrs 5 mos