Emblem/Radar Analyst - Predictive Modeling
HUQUO
Delhi, IN
1m ago
source : hirist.com

Role Overviewbr>br>Should have a good exposure in EmblemRadarbr>br> Doing independent research, analyze, and present data as assignedbr>br> Expected to work in close collaboration with the team and clients on analytics projects for general insurance related to pricingclaim analysisbr>br> Predictive modeling based GLM for personal and commercial lines, developing statistical models in SAS and Emblem (WillisTowersWatson software)br>br> Develop detailed SAS codes for data preparation and model scoring to be used in productionbr>br> Critically examine and deep dive into modelsbr>br> Prepare detailed documentation of models and preparing presentationsbr>br> Assist in learning and development of new team membersbr>br> Identify and participate in continuous improvement initiativesbr>br> Ensure compliance with Data Privacy and Protection Guidelinesbr>br>Key Responsibilitiesbr>br> Complete understanding of the current state of affairs and problem statementbr>br> Experience in data extraction and data manipulation in SASbr>br> Indepth data analysis like identifying major trends, univariate and multivariate analysisbr>br> Importing, merging and appending different datasets, joins in SASbr>br> Complete understanding of SAS macros and other SAS functions like proc import, proc sort, proc sql, data merge, proc transpose, proc export, proc sgplot, proc genmod, proc hpgenselect etc.

br>br> Experience in using SAS macros for Emblem and preparing datasets in SAS for Emblem modelingbr>br> Personal and commercial lines general insurance pricing, application of GLM using Emblem.

Building the loss cost models in Emblem by applying the GLM technique, involving identifying and analyzing the trends in the rating factors, and correlations among them.

Building a simple factor model, followed by interaction testing and simplification of the rating factors and applying the inflation and reserving adjustments for future projections, validating the model and model management.

br>br> Experience in data control and data automationbr>br> Knowledge of general insurance domain and P&C actuarial concepts is a mustbr>br> Good written and verbal communication skills

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