Yash Purohit — Associate Consultant

I’m a hands-on Quantitative Analyst and Trader with deep experience building, testing, and deploying algorithmic strategies across options and derivatives markets. From real-time risk dashboards to vectorized volatility calculators, I thrive at the intersection of trading, coding, and data science. At Edelweiss and Vikabh Securities, I: Built trading strategies with Sharpe >3, Calmar >2 using minute-level and tick-level data. Optimized Implied Volatility calculations using Newton-Raphson, outperforming VOLLIB and MIBIAN. Reduced trade ops time by 75% with a custom Python-Excel-Discord integration tool. Created live position trackers that improved refresh rates 12x, boosting trader responsiveness. Skills & Tools: Python | R | Java | SQL | Excel VBA | Financial Modeling | Risk Management | Algo Trading | Machine Learning | Options Greeks | Discord Automation | Real-Time Monitoring | Data Visualization Certified in: NISM-Series-VIII (Equity Derivatives) – 86.25% Mathematics for Machine Learning (Coursera) Feature Engineering & Intermediate ML (Kaggle) Advanced SQL, Blockchain Fundamentals, and more. Whether it's predictive modeling, trading system optimization, or enhancing desk productivity, I bring a strong analytical mindset and love for automation to every role. Let’s connect if you're looking for someone who can code like a dev, think like a quant, and execute like a trader.

Stackforce AI infers this person is a Fintech professional with strong quantitative analysis and algorithmic trading skills.

Location: Mumbai, Maharashtra, India

Experience: 9 yrs 6 mos