Subhash Sulanthar

Volatility isn't the problem. Mispriced risk usually is. Every model performs well until market conditions change. Robustness matters more than precision.

Systematic finance continues to evolve from a collection of trading strategies into a broader technology ecosystem spanning data, research, computation, execution and risk. The interesting question is increasingly how these pieces interact. #QuantFinance #FinTech #SystematicTrading

Modern financial markets are ultimately an infrastructure problem: clean data, reliable signals, low-latency execution, robust risk controls and scalable research environments. Quant strategies sit on top of this stack - and every layer matters. #QuantFinance #FinTech #Markets

The intersection of quantitative finance and AI is fascinating. Alpha discovery, portfolio construction, market simulation and risk management are all becoming increasingly data- and compute-intensive. The firms building the right research infrastructure may have as much edge as those building the models. #Quant #AI #FinTech