Sr. Actuarial Analyst

at  Capgemini

EXPERIENCE:

• Minimum: 3-5 years in actuarial roles
• Preferred: 5+ years in actuarial roles
• Education: Bachelor’s Degree in Actuarial Science, Statistics, Mathematics, Data Science

SKILLS:

• Excel , SQL, Python;
• Github Desktop, Anaconda;
• Verbal and Written Communication;
• Organization and Detail Orientation
• Ratemaking and Estimating Claim Liabilities

CAPGEMINI IS SEEKING A PROACTIVE AND SKILLED ACTUARIAL ANALYST TO JOIN OUR TEAM SUPPORTING ONE OF THE TOP 10 U.S. INSURANCE CARRIERS. THIS IS A PRIME OPPORTUNITY TO ADVANCE YOUR ACTUARIAL CAREER, GAIN INTERNATIONAL EXPERIENCE, AND PLAY A KEY ROLE IN DRIVING BUSINESS SUCCESS THROUGH DATA-DRIVEN DECISION-MAKING.

Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premium well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.
Location: Argentina (Remote/Hybrid) – Preferred: Availability to working PST

WHAT YOU’LL DO:

As a Senior Actuarial Analyst you will be involved in all aspects of work done on the team- performing indications, updating rating factors, working with vendor to validate premiums, and preparing filings. The pricing work done on the team will use in-house tools that are developed in python and Excel. Thus, this role will require working knowledge of python and Excel.