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20/07 Akhil Rajan
HR Executive at EXL Service

Views:497 Applications:91 Rec. Actions:Recruiter Actions:1

EXL Service - AVP - P&C Insurance Analytics (8-13 yrs)

Gurgaon/Gurugram Job Code: 952845

Role Overview:

- Doing independent research, analyze, and present data as assigned

- Expected to work in close collaboration with the EXL 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

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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