Expected to work in close collaboration with the team and clients on analytics projects for general insurance related to pricing, claim analysis, Underwriting, data management, etc.- Predictive modeling based GLM for commercial lines, developing statistical models in R, Python, SAS.- Data management and governance.- Doing independent research, analyze, and present data as assigned- Critically examine and deep dive into models- Prepare detailed documentation of analytical solutions 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- Participate in business development acitivitiesKey Responsibilities :- Strong ability to translate functional specifications / requirements to technical requirements- Complete understanding of the current state of affairs and problem statement- Experience in data extraction and data manipulation.- Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferred.- In-depth data analysis like identifying major trends, univariate and multi-variate analysis- Developing analytical solutions and models leveraging advance analytical tools - SAS/Python/R, etc.- 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.Process Automation : Knowledge of general insurance domain and commercial lines experience is mustCandidate Profile :- 9+ years experience in general insurance including pricing, claim, Underwriting, data management, etc. Preference to have experience in machine learning, advance statistical techniques, AI and process improvement.- Excellent communication & presentation skills- Excellent in project management, team management and conflict management skills- Good knowledge of data base management and Hadoop/Spark, SQL, VBA.- Bachelors/Master\'s degree in economics, mathematics, 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- 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- Should be able to lead team independently and prepare/manage client ready deliverable.
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