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