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RAVIRAJ MEHTA

Profile

Experienced professional specializing in consulting and market risk analysis, with a strong foundation in investment strategy, quantitative research, and financial consulting. Developed expertise in market dynamics, risk assessment, and data-driven decision-making through hands-on work in investment strategy, research, and consulting. Skilled in applying advanced quantitative methods to assess market risk and generate actionable insights, leveraging analytical rigor to support strategic risk management and deliver client-focused solutions. Possesses strong capabilities in financial modeling, data analysis, and performance forecasting across diverse asset classes.

KEY SKILLS

  • Derivative Valuation
  • Structured Derivatives
  • Quantitative Modeling
  • Hedge Effectiveness Analysis
 

  • Risk Assessment Frameworks
  • Backtesting & Benchmarking
  • Market Risk Compliance
  • Scenario & Sensitivity Analysis
  • LDI Portfolio Monitoring

Employment History

  • Advanced Analyst - Consulting Market Risk , Ernst & Young
  • January, 2023 - Present

    • Valuing derivative products, including IRS, IRS Cap/Floor, FX Forwards, Options, Cross Currency IRS, CDS, CDX, and Structured Derivatives.
    • Conducting quantitative analysis to validate hedge effectiveness of derivative instruments.
    • Assessing and valuing clients’ derivative trading book portfolios, including amortization schedules and vanilla structures.
    • Leading pricing model vetting, applying quantitative modeling techniques for risk assessment and pricing precision.
    • Guiding and training the team, effectively integrating resources on complex projects for optimal results.
    • Streamlining data resources to enhance accuracy in derivative product valuations.
    • Developing and implementing risk assessment frameworks to analyze exposure across derivative products and market factors.
    • Monitoring and stress-testing portfolios to evaluate sensitivity to market fluctuations, credit risks, and counterparty exposure.
    • Conducting backtesting and benchmarking of risk models to validate performance against historical data and market trends.
    • Engaging in regulatory reporting and compliance reviews, ensuring adherence to Basel III, FRTB, and other market risk requirements.
    • Analyzing liquidity risk in derivative portfolios and recommending strategies for optimal asset allocation and funding.
  • Associate Investment Strategy Quant Research , Prabhudas Lilladher Pvt. Ltd.
  • May, 2021 - January, 2023

    • Developed and refined a model ecosystem for Multi-Asset Portfolios in Excel and Python, using regime shift, statistical, and econometric modeling.
    • Conducted rigorous backtesting of models and indicators to enhance portfolio efficacy and guide strategic asset allocation.
    • Researched asset allocation and risk mitigation strategies to inform portfolio decisions and drive alpha generation.
    • Provided marketing support through performance attribution, detailed analysis, and reporting on portfolio insights.
    • Optimized portfolio risk-return profiles by integrating quantitative factors and macroeconomic indicators into investment models.
    • Designed scenario analyses and stress tests to assess portfolio resilience under various market conditions.
    • Enhanced model accuracy through machine learning techniques, refining predictive capabilities in asset allocation decisions.
    • Built dashboards to visualize key portfolio metrics and performance trends, facilitating real-time decision support for investment teams.
    • Supported portfolio rebalancing strategies based on market signals, economic shifts, and evolving risk parameters.
  • Analyst - Investment Consulting , Jardine Lloyd Thompson (MMC)
  • February, 2019 - July, 2019

    • Developed and maintained performance monitoring frameworks for DB Pension Schemes, focusing on valuations, asset allocation, and funding levels.
    • Conducted emerging risk assessments and tracked funding levels to support strategic decisions for DB Pension Schemes.
    • Monitored LDI portfolios and Clwyd alternative investment schemes, with a focus on £500 million AUM.
    • Automated fund overview processes for 150+ funds, implementing scalable models with automated inputs and output reports.
    • Reconciled IRR and fund performance, facilitating effective communication with UK counterparts.

     


    INTERNSHIPS :

    JMarathon Advisory Services Pvt. Ltd.
    April 2020 – June 2020

    • Conducted in-depth analysis of Indian stocks, commodities, derivatives, currencies, and global markets using fundamental and technical analysis techniques.
    • Participated in live trading sessions alongside research analysts, applying real-time strategies for market gains.
    • Utilized econometric models for comprehensive currency and commodity analysis, supporting data-driven decision-making.

     

    Bombay Stock Exchange
    July 2018 – October 2018

    • Analyzed seasonal behavior patterns in companies, building a model to identify and categorize seasonal trends.
    • Developed a statistical model to detect and quantify seasonality in companies, enhancing predictability in market movements.
    • Translated qualitative seasonality into quantitative data, enabling systematic ranking of companies based on seasonal performance factors.

Projects

  • Quantitative Techniques in Finance
  • Presented a research paper focused on evaluating the RiskMetrics methodology to measure volatility and Value-at-Risk (VaR) in financial markets. The paper explored its effectiveness in assessing market risk and its application in portfolio management.

  • -

  • Econometrics & Research Methodology
  • Developed a forecasting model for oil prices using the ARIMA (AutoRegressive Integrated Moving Average) model, analyzing historical price data to predict future trends and inform investment decisions.

  • -

  • Investment Analysis & Portfolio Management
  • Constructed and managed a global investment portfolio using Portfolio Optimization techniques in MS Excel Macro. The project aimed at maximizing risk-adjusted returns by selecting and balancing assets based on expected performance and risk factors.

  • -

Education

  • Master degree in Science (Finance),
  • NMIMS, Mumbai, 2021

  • Master degree in Program (Banking & Finance),
  • BSE Institute, Mumbai, 2018

  • Bachelor degree in Science (Physics),
  • University of Mumbai, Mumbai, 2016

Skills

  • Microsoft Office - (Microsoft Word, Excel, PowerPoint)
  • Algorithmic Trading, Python
  • Bloomberg, ACE Equity, ACE MF, TradingView, CMIE Economic Outlook
  • Capitaine, Fincad SuperDerivatives, Numerix

Licenses & Certifications

  • Python and Statistics for Financial Analysis
  • The Hong Kong University of Science and Technology

    2020

  • Financial Engineering and Risk Management Part I
  • Columbia University

    2020

  • Bloomberg Market Concepts (BMC) - Portfolio Management & Core Concepts
  • 2020

  • Financial Modelling
  • Corporate Finance Institute® (CFI)

    2019

  • CFA Level 1
  • 2019

Interest and Hobbies

  • Trekking, Playing Chess and Cricket

Extracurricular Activities

    • IISER Spread the Smile (2013): Volunteered as a teaching assistant, supporting educational initiatives.
    • Lok Raj Sanghathan (2013-2017): Served as a member, contributing to community-focused activities.
    • Event Head – Science Exhibition, V.G. Vaze College (2015): Conceptualized and organized a successful science exhibition, showcasing innovative projects.

    ACHIEVEMENTS :
    • 1st Place – Trading Competition at JMarathon (2020): Won first place in a competitive trading simulation.
    • 1st and 3rd Place – Science Exhibitions (2011-2013): Awarded top positions in science exhibitions at both school and college levels.
    • Vedic Mathematics Achievements (2008-2009): Secured 2nd, 1st, and 3rd place in Levels I, II, III, and IV of Vedic Mathematics competitions.