Essential Responsibilities :
Scoring/Back testing predictive models for population selection in designing new campaigns, and tracking existing campaigns
Extracting data from multiple data sources (i.e. excel, oracle, text files)
Need to validate models periodically and maintain & prepare precise process documentation for all the existing models and new models.
Assess the performance of predictive models on periodic basis by computing various metrics like PSI, KS, Gini, Divergence etc.,
On a need basis, able to build predictive Models including but not limited to Linear/Logistic Regression & Segmentation techniques for delivering analyses and building strategies to drive portfolio growth.
Use SAS procedures like proc summary, proc means, proc univariate, proc sql to deliver multiple analyses like assessing marketing campaign effectiveness, profitability of specific segments, loss rates by risk bucket.
Willing to work on new tools like Model Manager to set up process of automation for assessment of models Communicating business results/interpretations with clients and peers
Ability to generate innovative ideas and work on them which would have significant business impact
Need to do Report creation/ MIS, Ad-hoc Analysis occasionally.
Qualification*Any Post-graduate, M.Tech
Experience*2 Year- 4 Years
Salary*Best in Industry