Job Description

- Experience in Reserving and P&C is a must.- 5+ CT exam should be cleared . CT 6 is a mandate- 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 GuidelinesKey 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 skillsCandidate 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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