EXL Service - Statistical Modeler

EXL Service - Statistical Modeler

Role Overview :

- Research, analyze, and present data as assigned.

- Develop statistical models in SAS /R/Python.

- Develop detailed codes for data preparation and model scoring to be used in production.

- Prepare detailed documentation of models and make oral presentations to team lead.

- Assist in learning and development of new team members.

- Critically examine and deep dive into models.

- Identify and participate in continuous improvement initiatives.

- Ensure compliance with Data Privacy and Protection Guidelines.

Responsibilities :

- Complete understanding of the current state of affairs and problem statement

- Experience in data extraction and data manipulation in SAS/R/Python.

- In-depth data analysis like identifying major trends, univariate and bi-variate analysis.

- Importing, merging and appending different datasets, joins in SAS.

- Complete understanding of SAS functions like- Procedures and SAS macros, Python- Pandas, Numpy, Sklearn, Dplyr, Tidyverse etc or R libraries

- Experience in data control and data automation.

- Knowledge of insurance domain and pricing (preferably).

- Good written and verbal communication skills

Candidate Profile :

- 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

- 3+ years experience in data analytics (modelling), preferably in insurance.

- Strong and in-depth understanding of statistical concepts.

- Data analysis experience and model development experience.

- Good 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.