Chetan Gundu

Results-driven financial analyst with expertise in DCF and IV Regression, honed at XYZ Corp. Proven ability to leverage analytical reasoning and team collaboration to enhance financial modeling accuracy. Successfully implemented Monte Carlo simulations, improving risk assessment processes by 20%, driving strategic decision-making and optimizing investment strategies.

Accomplishments

• Top mark, Empirical CAPM Project – ECMT2130
• First Prize, Intermediate Econometrics media project (ECMT2150) – Made a project on the relation between Endogeneity & WAM.
• First Prize, Mathematical Economics media project (MATH2903) – Markov Chains & Behavioural Economics
• Distinction WAM, with High Distinction in Intermediate Econometrics

Professional Training & Certifications

• Executive Programme in Algorithmic Trading (EPAT) – QuantInsti (Ongoing)
  Focus on Python-based strategy development, risk-adjusted backtesting, and machine learning for trading.
• J.P. Morgan – Investment Banking and Project Analysis
  Applied M&A screening and DCF valuation; developed understanding of M&A processes and client communication.
• Citi – Markets Quantitative Analysis (MQA)
  Hands-on exposure to statistical data analysis, derivatives valuation, Monte Carlo simulations, and hedging strategies.
• Bank of America – Global Markets Sales and Trading Analysis
  Training in sales and trading strategy, analytical reasoning, and financial market analysis.