AVP, Data Analytics and Underwriting

Odyssey • Stamford, CT

1d

About The Position

Evaluate risks, negotiate coverage terms, and ensure compliance with internal guidelines and market conditions. Lead strategic initiatives across catastrophe modeling, data analytics, and property treaty underwriting. Collaborate with actuarial, underwriting, and analytics teams to develop pricing tools, underwriting guidelines, and data validation processes. Manage data aggregation and reinsurance submissions. Support profitable growth by aligning analytics with business strategy, optimizing underwriting decisions through automation and robust pricing processes and modeling frameworks.

Requirements

• Requires a Bachelor’s degree or foreign equivalent in Actuarial Science, Applied Mathematics, or a related quantitative field and five (5) years of progressive experience as an actuary in the (re)insurance industry.
• Experience must include: Performing reinsurance pricing and reserving across multiple geographies and business lines; property treaty underwriting, including Quota Share, Excess of Loss (XOL), and Catastrophe Layers; assessing catastrophe risk and portfolio accumulation, including probabilistic modeling, experience and exposure rating, and PML estimation; designing and implementing actuarial pricing frameworks and underwriting guidelines for global platforms; and developing underwriting automation tools and data platforms to support decision-making.
• Travel required up to 10%, U.S. domestic only.

Responsibilities

• Evaluate risks
• Negotiate coverage terms
• Ensure compliance with internal guidelines and market conditions
• Lead strategic initiatives across catastrophe modeling, data analytics, and property treaty underwriting
• Collaborate with actuarial, underwriting, and analytics teams to develop pricing tools, underwriting guidelines, and data validation processes
• Manage data aggregation and reinsurance submissions
• Support profitable growth by aligning analytics with business strategy
• Optimize underwriting decisions through automation and robust pricing processes and modeling frameworks

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Number of Employees: 251-500 employees