AVP, Investment Analytics

Fortitude Re•Jersey City, NJ

2d•$180,000 - $205,000•Hybrid

About The Position

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. 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.

Requirements

Bachelor's degree in math, computer science, statistics, or a related quantitative field; master’s degree preferred.
7+ years of experience in investments analytics, portfolio management, or other investments function.
CFA of FSA preferred.
Knowledge of Fixed Income modeling as it relates to Analytics and Cashflows.
Strong analytical capabilities.
Highly proficient knowledge with SQL, R, Python, or other programming languages.
Knowledge of Bloomberg and advanced Excel skills is required.
Proficiency using leading software vendors for financial data and fixed income modeling, including Bloomberg, Aladdin, Intex, Trepp, and others.
Proven expertise in building processes to clean, validate, and analyze large data sets.
Very strong written, verbal and interpersonal communications skills to clearly articulate sophisticated concepts, ideas and processes.
Presence and credibility to present effectively to key senior management.
Ability to direct and lead other members of the team.
Ability to work across functional groups to bring teams together and accomplish project goals and objectives.

Nice To Haves

Experience working at a (re)insurer is a plus.
Prior experience with private credit, structure credit, esoteric asset classes, and whole loans is a plus.

Responsibilities

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.
Supervise junior team members (Associates and Senior Associates), providing guidance on methodologies, deliverables, and professional development.
Identify process improvements and implement standardized workflows that enhance scalability and data quality across the analytics platform.
Design and plan quantitative research on private credit transaction data and develop liquidity premium risk and return models.
Design and implement structured product models spanning public and private securities (e.g., ABF, CLOs, rated funds, RMBS, CMBS).
Design and implement analytics to support investment strategy, including standardizing and scaling new business pricing.