Job Location: Gurgaon/Gurugram
Associate Vice President – Analytics – P&C Insurance – IIT/IIM/ISB/XLRI/Global Institutes
Role Overview :
– Doing independent research, analyze, and present data as assigned
– Expected to work in close collaboration with the team and clients on analytics projects for general insurance related to pricing/claim analysis
– Predictive modeling based GLM for personal and commercial lines, developing statistical models in R, Python, SAS.
– Develop detailed SAS codes for data preparation and model scoring to be used in production
– Critically examine and deep dive into models
– Prepare detailed documentation of models and preparing presentations
– Assist in learning and development of new team members
– Identify and participate in continuous improvement initiatives
– Ensure compliance with Data Privacy and Protection Guidelines
Key Responsibilities :
– Complete understanding of the current state of affairs and problem statement
– Experience in data extraction and data manipulation in SAS
– In-depth data analysis like identifying major trends, univariate and multi-variate analysis
– Importing, merging and appending different datasets, joins in SAS
– 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.
– Experience in using SAS macros for Emblem and preparing datasets in SAS for Emblem modeling is good to have.
– Personal and commercial lines general insurance pricing, application of GLM using Emblem or other tools. Building the loss cost models in SAS/ R/ Python/ 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.
– Experience in data control and data automation
– Knowledge of general insurance domain and P&C actuarial concepts is a must
– Good written and verbal communication skills
Candidate Profile :
– Bachelors/Master’s degree in economics, mathematics, actuarial sciences, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
– 9 years experience, preferably in general insurance pricing analytics
– Model development experience in R, Python, SAS.
– Strong and in-depth understanding of statistics
– Data analysis experience
– Superior analytical and problem solving skills
– Outstanding written and verbal communication skills
– Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
– Is able to understand cross cultural differences and can work with clients across the globe
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