Kanwal Prakash Singh
Quant and Strategy in Mumbai, Maharashtra, India
Kanwal Prakash Singh is an experience Quant PM
His last tenure was with Head QR at O’Neil Capital Management India, an asset management firm. Under his leadership, the firm has developed high-performance systematic trading/investment strategies that leverage cutting-edge machine learning, statistical modeling, and optimization techniques to generate alpha and enhance risk-adjusted returns. Kanwal is committed to continuously advancing the firm’s capabilities in quantitative asset management and data-driven investment strategies, positioning O’Neil Capital Management as a pioneer in the industry.
With over 8 years of experience in quantitative finance, Kanwal is a recognized expert in data-driven alpha generation and market microstructure. He has an extensive track record of developing proprietary trading strategies that deliver consistent returns through sophisticated statistical methods and machine learning models. As a former High-Frequency Trader, he played a key role in developing low-latency, high-performance trading systems that consistently outperformed market benchmarks. Kanwal also served as a Founding Quant Member at 5 Swans, a proprietary trading firm founded by HFT veterans, where he significantly contributed to strategy development and market insights
Kanwal's expertise extends beyond traditional equity markets. In the fast-evolving cryptocurrency space, he was instrumental in establishing OTC trading operations for HNIs and institutional clients. He also played a critical role in building the liquidity infrastructure for CoinDCX, one of India’s leading cryptocurrency exchanges. His work on developing automated risk models ensured robust compliance with regulatory frameworks such as FEMA, FCRA, PMLA, allowing the exchange to scale while safeguarding against market and regulatory risks.
Before transitioning into quantitative finance, Kanwal led the Data Science division at Housing.com, where he spearheaded the development of innovative algorithmic solutions to optimize operational workflows. His work on routing algorithms and predictive analytics resulted in substantial cost savings and significant improvements in operational efficiency, contributing directly to the company's competitive edge and market growth
Kanwal graduated with honors in Computer Science from IIT Bombay, one of India’s premier institutions. Outside of his professional work, Kanwal is an avid composer, blending his analytical mindset with creativity. He is also passionate about geopolitical strategy and government policy, constantly researching global macroeconomic trends