Yuvansh Sharma — Consultant

I am a Quantitative Researcher and B.Tech student at IIT Patna, passionate about systematic trading, statistical modeling, and derivatives research. I’ve secured Global Rank 1 in both WorldQuant’s Super Alpha Competition’24 and QuantConnect’s Open Quant League’24, along with multiple top national rankings in IMC Trading, Inter IIT Tech Meet, and other quant challenges. I’ve interned as a Quant Analyst at 5paisa and as a Quant Researcher at Multyfi, working on volatility modeling, arbitrage (PCP, volatility smiles), factor regression, and developing data-driven trading strategies for Indian markets. My work focuses on building robust alpha signals, improving risk-adjusted returns, and designing scalable systematic models. Technically, I work with Python (Pandas, NumPy, QuantLib), C++, time-series forecasting, options pricing (Black-Scholes, Heston, Dupire), and risk models (VaR, ES). I enjoy turning mathematical ideas into practical trading systems. Open to opportunities in Quant Research, Trading, and Financial Engineering.

Stackforce AI infers this person is a Quantitative Researcher with expertise in financial modeling and trading strategies.

Location: Udaipur, Rajasthan, India

Experience: 2 yrs 7 mos