Credit Risk Modeling & Analytics Manager

Job description

Here’s what you’ll be doing. You’ll develop Models for client as per the agreed upon schedule You’ll document modeling requirements based on discussions and information provided by client modeling lead/business users You’ll develop models based on the model requirements definition , per the agreed upon schedule with client You’ll develop new and enhance existing risk scorecards (application, behavior, collections/recovery etc.) or Marketing Analytics modeling (customers targeting) You’ll create and maintain detailed model documentation You need these qualifications. You hold a Master's degree in Statistics, Economics, Engineering, Finance, Mathematics, or a related quantitative field from tier 1 colleges You have a sound Knowledge of SAS, SQL and other analytical tools (R, SPSS). You’ve experience working in Banking, Credit Cards, Marketing Analytics, Credit Risk Modeling. You’ve experience working with Machine Learning techniques (Support Vector Machines, Genetic Algorithms, Random Forests, K-Nearest Neighbor algorithm, Principal Component analysis etc.) You’ve more than 3 years of experience in building models (data cleaning, dependent variable selection, independent variable study and understanding, variable reduction, bivariate analysis, variables grouping, logistic/linear model build, model validation, KS/Lift study/PSI etc.) You’ve exposure in Online / Digital analytics & Text Mining. Here’s what we can offer. Competitive base salary of $100K+ Bonus and Benefits+ Relocation Assistance Work Authorization: US Citizens/ Green Card/ Permanent Residents/ EAD. All your information will be kept confidential according to EEO guidelines. Ping me at shruthi.n at roljobs dot com to know more. Why we need you? Our client is one of the unique IT Services Company serving across the globe. They are a leading operations management and analytics company that help businesses enhance growth and profitability. We are looking for a dynamic modeling professional to join their team in Jersey City.