Chief Reserving Actuary responsible for managing reserving studies and maximizing profitability for Everest's Legacy business. Collaborating across various departments to drive strategic value creation.
About the role
- Lead Assistant Manager-Actuarial-Regulatory & Compliance overseeing analytics in insurance. Required to work closely with clients and teams to drive improvements and manage projects in dynamics of insurance.
Responsibilities
- Expected to work in close collaboration with the Client team and EXL team on establishing relationship with stakeholders, identify new opportunities, areas of growth
- Hands on experience in Data modelling and data analytics tools like, SQL, SAS and Python and good knowledge in segmentation / advanced analytics / Machine learning / statistical / data mining / Text mining techniques in Regression or classification
- Develop long-lasting, trusted advisor relationships with clients
- Provide Project, Client & Team Management and Monitor progress of deliverables on daily basis and ensures timely resolution of any issues
- Ensure Industry best practices are followed, Communicate and follow up with delivery team
- Brainstorming on pain areas/Identifying reasons for issues/Issue Resolution, diagnosis of inefficiencies in the current process and figuring out ways to resolve it
- Independently work across data modeling, data manipulation, visualization, predictive modeling, Reporting and Automation projects across Insurance Value Chain
- Facilitate client working sessions and lead recurring project status meetings
- Manage day-to-day project operations, serve as the functional and domain expert on the project team to ensure that they meet client expectations
Requirements
- Bachelor’s/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
- 5+ years in insurance analytics
- Talent Analytics, Adhoc data analysis to solve business problems
- Complete understanding and demonstrated experience of SQL, SAS, Python, and various modeling techniques is must
- Good critical thinking and problem solving skills
- Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
- Outstanding written and verbal communication skills, and presentation 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
Job title
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