Investment Analytics

Fortitude Reinsurance Company Ltd. (Fortitude Re) is one of the world’s leading providers of legacy reinsurance solutions. They work with the world’s leading insurance companies to help them execute comprehensive, transformational solutions for legacy Life & Annuity and P&C lines. Fortitude Re manages a general account of approximately $111 billion across life, annuity, and property & casualty insurance products. The company takes a long-term view on growth and is proud to be backed by a consortium of sophisticated institutional investors led by The Carlyle Group and T&D Insurance Group. Incorporated under the laws of Bermuda on January 1, 2017, Fortitude Re’s roots in the insurance industry and the experience of their leadership go back many decades. Fortitude Re’s leadership team has an average industry tenure of over 20 years, and an impressive track record of successfully managing the most complex legacy liabilities. Their deep insurance experience and proprietary risk modeling capabilities allow them to structure bespoke transactions that benefit both insurance companies and their policyholders. Fortitude Re continues to strengthen its ability to pursue further growth and provide innovative solutions for the global insurance industry.   Click here for more information about Fortitude Re.

The AVP, Investment Analytics manages complex projects and delivers advanced modeling and analytics that support Fortitude Re’s investment plan. This role bridges strategy and execution—translating senior leadership direction into actionable analytics projects while coordinating across actuarial, accounting, and investment teams. The AVP ensures deliverables meet business objectives, regulatory standards, and quality benchmarks, while supervising junior colleagues and fostering collaboration across functions. 

This role will be based in our Jersey City, NJ office on a hybrid basis.

What You Will Do: 

• Manage complex projects within the investment analytics function, taking accountability for end-to-end execution and timely delivery. 

• Lead cross-functional collaboration with finance, investment operations, asset managers, and vendors to ensure models and analytics meet business and regulatory requirements. 

• Develop advanced analytics frameworks to support ALM, pricing, cedent requirements, and regulatory reporting, balancing technical depth with business applicability. 

• Develop, build, and maintain new models to automate complex investment operations functions, including income recognition, cedent guideline management, and new deal onboarding.