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    Rama Sankisa

    Risk metric architect; data scientist; quantitative researcher; macroeconomic and exchange rate model developer

    Rama Sankisa develops quantitative models focused on natural language processing and text analytics to discover insights that will become new metrics and data products, as well as credit-relevant sentiment scores based on news and social media datasets. Previously, Rama was a quantitative researcher, building stochastic macro-economic and exchange rate models for insurance clients and creating solutions for stress testing money market funds.

    University of California, Berkeley: MFE, Master of Financial Engineering

    Credit Risk Modeling: Moody’s Analytics delivers award-winning credit models and expert advisory services to provide you with best-in-class credit risk modeling solutions.

    Data Visualization: Moody's Analytics data visualization and discovery solutions deliver comprehensive, enterprise-wide visibility into risk and finance data.


    Econometric Modeling: Fully transparent econometric and statistical models to assess performance of geographies, financials and various asset classes.

    Credit Correlations: Measurement of whether risky assets are more likely to default together or separately.

    Portfolio Models: Models that enable portfolio managers to assess and optimize portfolio risk.

    Representative Project

    Rama built stochastic macroeconomic and exchange rate models for insurance clients.