Lead Assistant Manager-Actuarial-Regulatory & Compliance

About the Role

Lead Assistant Manager-Actuarial-Regulatory & Compliance role based in Gurugram with hybrid workplace arrangement. Expected to work in close collaboration with the Client team and EXL team on establishing relationship with stakeholders, identify new opportunities, areas of growth. Independently work across data modeling, data manipulation, visualization, predictive modeling, Reporting and Automation projects across Insurance Value Chain.

Key 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

• 5+ years in insurance analytics
• Complete understanding and demonstrated experience of SQL, SAS, Python, and various modeling techniques is must
• Talent Analytics, Adhoc data analysis to solve business problems
• 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

Qualifications

• 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