About
Infiquant Global Advisory Private Limited
Founded: July 2024 · CIN: U66309MH2024PTC429345 · Registered in Mumbai, Maharashtra
InfiQuant is a quantitative trading and research firm based in Mumbai, India. We apply rigorous statistical methods and machine learning to develop systematic trading strategies for Indian derivatives markets.
Our focus is on building proprietary trading infrastructure from the ground up — custom data pipelines, real-time signal processing engines, and automated execution systems designed to operate with mathematical precision and zero human intervention.
We are building the next generation of quantitative trading tools for India, combining deep domain expertise in derivatives markets with modern computational methods.
Founder
Hardik Desai
LinkedIn →Founder & CEO
Chartered Accountant (ICAI) and CFA Level III Candidate with deep experience in derivatives, financial modeling, and quantitative analysis.
Previously in investment banking at Centrum Capital, executing ₹500Cr+ in structured transactions and capital markets advisory. The experience of seeing how quantitative tools operate at the institutional level — and their complete absence in the broader Indian market — led to founding InfiQuant.
His vision: bring the mathematical rigor of quantitative finance to Indian derivatives markets through purpose-built technology and systematic research.
Team
We are a small, focused team that values depth over breadth. Every team member contributes directly to research and infrastructure.
Quantitative Research
Statistical signal detection, options pricing models, regime classification, and out-of-sample validation across Indian derivatives data.
Systems Engineering
Real-time data pipelines, exchange connectivity, execution infrastructure, and production monitoring on Oracle Cloud.
Finance & Compliance
Risk management frameworks, regulatory alignment, financial reporting, and investor relations. CA and CFA expertise in-house.
Interested in joining? See our open roles.
Values
Research Rigor
Every hypothesis is tested statistically. Every strategy is validated out-of-sample. We do not deploy models we cannot explain.
Systematic Risk Management
Risk is managed at every layer — from individual position limits to portfolio-level drawdown controls. Capital preservation is architectural, not discretionary.
Technological Excellence
We build our own infrastructure. Custom data pipelines, execution engines, and monitoring — purpose-built for the constraints of Indian markets.