Sr. Analyst, Domain Analytics, Actuarial

About the Role

Sr. Analyst, Domain Analytics, Actuarial

Ready to turn bold ideas into real-world impact? At Genpact, we don't just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we're at the forefront of it. Genpact's AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies' most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment.

Key Responsibilities

• Conduct statistical analysis and modeling to forecast future trends
• Evaluate existing insurance policies and recommend adjustments based on data analysis
• Collaborate with cross-functional teams to develop financial plans and pricing strategies
• Interpret regulatory guidelines and ensure compliance with industry standards
• Present findings and recommendations to senior management for strategic decision-making

Qualifications

Education: Bachelors - Computer Science, Bachelors - Statistics, Masters - Actuarial Science

Certifications: Certified Employee Benefits Specialist (CEBS) - The Institute of Cost Accountans of India (ICMAI), Certified in Risk and Information Systems Control (CRISC) - ISACA – Information Systems Audit and Control Association, Certified Life and Health Insurance Specialist (CL11) - Tennessee Department of Insurance, Chartered Insurance Professional (CIP) - Chartered Insurance Institute (CII), Chartered Life Underwriter (CLU) - American College

Required Skills: Actuarial Services, Alteryx, Catastrophe Risk Management, Client Relations, Executive Presence, Microsoft Access, Microsoft Excel, Microsoft Power Business Intelligence (PBI), Python (Programming Language), SAS, Structured Query Language (SQL), Tableau (Software)

Language Proficiency: English (OVERALL - Intermediate - B1)

Requirements

Bachelors in Computer Science, Statistics, or Masters in Actuarial Science; required skills in Actuarial Services, data analysis tools (Alteryx, Python, SAS, SQL, Tableau, Microsoft PBI, Microsoft Excel, Microsoft Access); familiarity with Catastrophe Risk Management, Client Relations, and Executive Presence; English language proficiency (Intermediate - B1)