EXL Service - AVP - P&C Insurance Analytics

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