Asish Das — Associate Consultant

🔹 Finance | Investment Banking | Quantitative Research | Analytics Finance and data professional with a deep foundation in quantitative analysis, algorithmic strategy, and financial modeling. Currently serving as a Quantitative Research Consultant at WorldQuant and Investment & Finance Analyst at ICAI GBS Associates, with a record of deploying high-impact valuation models, algorithmic trading strategies, and interest rate simulations. Skilled in applying time series forecasting, DCF valuation, stochastic modeling, and statistical optimization across equity, bond, and macroeconomic datasets. Proficient in Bloomberg Terminal, Python, R, SQL, Tableau, MATLAB, and Excel. Experience includes building a 500k+ point data visualization engine, optimizing model predictions for NIFTY trades, and creating a bond pricing tool with 95% accuracy. Recognized in the top 15% at the International Quant Championship (70,000+ participants), selected for Goldman Sachs’ Investment Banking Summit, and twice invited to Harvard HPAIR. Certified in Bloomberg Market Concepts, Financial Markets (Yale), and Quantitative Modeling (Wharton). Currently seeking roles that demand cross-functional depth in finance, analytics, and engineering.

Stackforce AI infers this person is a Fintech professional with expertise in quantitative research and financial analytics.

Location: Bengaluru, Karnataka, India

Experience: 1 yr 5 mos