AVP, Investment Analytics — Hybrid Leader, ALM & Modeling

Fortitude Re

Jersey City (NJ)

Hybrid

USD 180,000 - 205,000

Full time

47 hours ago

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Job summary

Fortitude Reinsurance Company Ltd. (Fortitude Re) seeks an AVP, Investment Analytics to lead complex analytics projects and deliver advanced modeling supporting the investment plan. The role bridges strategy and execution, coordinating across actuarial, accounting, and investment teams.

The position is based in Jersey City, NJ on a hybrid basis, with responsibilities spanning cross-functional collaboration, model development, and process improvements to ensure regulatory and business alignment.

Qualifications

Bachelor's degree in math, computer science, statistics, or related quantitative field; master’s degree preferred.
7+ years of experience in investments analytics, portfolio management, or other investments function.
CFA or FSA preferred.
Knowledge of Fixed Income modeling as it relates to Analytics and Cashflows.
Strong analytical capabilities.
Highly proficient 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.

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.