Senior Associate, Investment Analytics

Fortitude Re • Jersey City, NJ

2d

About The Position

The Senior Associate, Investment Analytics is responsible for executing advanced workstreams within Fortitude Re’s investment analytics platform. This role develops and maintains sophisticated models supporting ALM, pricing, and portfolio optimization while contributing subject matter expertise in areas such as structured products, private credit, or other specialized asset classes. The Senior Associate acts as a key contributor to larger projects, ensuring accuracy, efficiency, and business relevance in analytics outputs.

Requirements

• Bachelor's degree in math, computer science, statistics, or a related quantitative field, with a minimum of 3 years of experience in insurance asset management, fixed income asset management, or liability driven investing.
• Proficiency in Python and SQL is required.
• Knowledge of Bloomberg and advanced Excel skills is required.
• Strong analytical capabilities.
• 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.

Nice To Haves

• Master’s degree preferred.
• CFA, or other Actuarial, Risk, Finance credentials a plus.
• Knowledge of sophisticated data science techniques (regressions, clustering, classification) is recommended.
• Experience working at a (re)insurer is a plus.
• Prior experience with private credit, structure credit, esoteric asset classes, and who le loans is a plus.

Responsibilities

• Take ownership of distinct workstreams within larger projects, ensuring deliverables are accurate, timely, and aligned with stakeholder needs.
• Develop and maintain advanced models and analytics supporting ALM, investment pricing, and portfolio optimization.
• Act as a subject matter resource for structured products, private credit, or other specialized asset classes, translating complex concepts for broader team use.
• Coordinate with external data providers and internal teams to validate and improve data quality and process efficiency.
• Present technical findings to mid-level management, demonstrating the ability to communicate analytics in a business-oriented manner.
• Perform quantitative research on private credit transaction data and develop liquidity premium risk and return models.
• Build structured product models spanning public and private securities (e.g., ABF, CLOs, rated funds, RMBS, CMBS).
• Build analytics to support investment strategy, including standardizing and scaling new business pricing.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level