Job Description:
- Develop Models for client as per the agreed upon schedule
- Document modeling requirements based on discussions and information provided by client modeling lead/business users
- Develop models based on the model requirements definition, per the agreed upon schedule with client
- Improve existing models, per the agreed upon schedule with client
- Provide model documentation (model delivery document) with model delivery
- Assist in implementation support based on schedule agreed with client.
Role Requirement:
- Individual Contributor role for developing new and enhancing existing risk scorecards (application, behavior, collections/recovery etc.) or Marketing Analytics modeling (customers targeting)
- Exposure in Online / Digital analytics & Text Mining
- Should have built 2-3 risk/marketing models end to end
- Experience on Segmentation, Decision Trees
Industry experience
- Banking, Credit Cards, Marketing Analytics, Credit Risk Modeling
- Banking domain is a must
- Experience on working with Machine Learning techniques (Support Vector Machines, Genetic Algorithms, Random Forests, K-Nearest Neighbor algorithm, Principal Component analysis etc.)
- Minimum 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.)
Education / Tool experience
- Master's degree in Statistics, Economics, Engineering, Finance, Mathematics, or a related quantitative field from tier 1 colleges
- Sound Knowledge of SAS, SQL and other analytical tools (R, SPSS)
- Proficiency in MS Excel
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