Radhika Padia — CEO

I work as a low-latency C++ quant engineer, with experience spanning the entire trading lifecycle — from exchange connectivity and market data infrastructure to strategy research and live market making in Indian derivatives.Over the years, I’ve worked across multiple domains within the same firm:• Infrastructure: TBT market data capture, replay, order routing, latency optimisation• Simulation: exchange and matching-engine simulators, deterministic order-book replay• Research: intraday alpha exploration, slippage analysis, volatility surface • Strategies: high-frequency arbitrage, and more recently market-making and execution logicWorking across infra, research, and trading has shaped how I think about edge — not just in terms of signals, but in execution quality, queue position, time-in-position, and real-world constraints that rarely show up in clean backtests.My current focus is on market making and execution research, particularly understanding which edges are structural (decay, mean reversion) versus model-driven, and where ML/AI meaningfully improves decision-making without over-engineering

Stackforce AI infers this person is a Fintech professional specializing in low-latency trading systems and market execution.

Location: Delhi, Delhi, India

Experience: 7 yrs 9 mos