SKILLS
Finance
• Credit risk methodologies (KMV, Credit Metrics, EAD, VAR, Stress testing), PE measurement, Cash Flow, Prepayment, Delinquency Analysis.
• Valuation techniques (NPV, Free cash flow, Discount dividend analysis)
• Portfolio Theory, Portfolio Optimization, Alpha modeling techniques
Quantitative
• Linear and non-linear regression model, mixed model, logistic regression, survival model and censored data analysis, database management, data mining, Time series models (ARMA, ARIMA, ARCH,GARCH), , decision trees(JMP), ANOVA, cluster analysis,Bootstrapping.
• Numerical Methods, Binomial/Trinomial Trees, Brownian motion, Stochastic Differential Calculus stochastic processes.
• Monte Carlo Simulation, dynamic programming
Software Development
• SAS (7 Years of Base, Macro, Stat, Graph and SQL), JMP, C++, VBA, MATLAB
SAS Training
• Introduction to ANOVA, Regression, and Logistic Regression
• Data Manipulation Techniques
• Advanced Techniques and Efficiencies
• Predictive Modeling Using Logistic Regression
• SAS Macro Language: Essentials