Quantitative Modeler, ALM & Insurance Analytics

Overview

The Quantitative Modeling Analyst position will support the development of AI engineering strategies that enhance asset and liability modeling capabilities at Talcott Financial Group. This role will contribute to the creation of self-service applications and tools, focusing on fixed income, derivatives, and ALM analytics.

Responsibilities

• Develop asset and liability models supporting self-service ALM forecasting for Actuarial, Finance, and Risk users, including prepayment, credit migration, and default modeling.
• Implement optimization approaches for SAA, hedging, capital efficiency, and surplus generation.
• Develop anomaly detection for valuation QA and model validation.
• Build and maintain Python services integrating AXIS, KRM, QuantLib, and internal platforms.
• Follow best practices in version control, CI/CD, and code review.
• Contribute to validation, controls, and reconciliation frameworks.
• Build self-service chat tools, LLM-based auto-documentation for governance and audit, AI-assisted reconciliation and anomaly explanation, and RAG solutions grounded in actuarial methods, regulatory guidance, and prior results.
• Partner with Risk, Compliance, and IT to establish AI governance, safety, validation, and human-in-the-loop controls.
• Stay updated with technological advancements in AI tools and applications, and continuously explore potential use cases for the company.

Qualifications

• Minimum of 1 year of experience with quantitative asset modeling and AI applications.
• Strong mathematical and analytical skills with working knowledge of fixed income asset classes, pricing models, and derivatives.
• Progress toward an ASA or FSA is a plus.
• Demonstrated experience applying quantitative models to business challenges.
• Hands-on exposure to Generative AI, agentic workflows, chat assistants, and machine learning.
• Technical experience requirements: Python, NumPy, pandas, Fast API, Azure cloud services.
• Demonstrated ability to take ownership of processes and drive improvements independently.
• Experience providing project oversight or leading components of projects is a plus.
• Strong communication skills, able to translate complex analysis into clear, actionable insights for senior stakeholders.
• Attention to detail and ability to manage multiple deliverables.
• Strong analytical and problem-solving skills, with demonstrated experience working with complex datasets and reporting frameworks.
• Results-oriented with a demonstrated ability to work under tight deadlines in a high-performance environment.

Pay

This range represents the minimum and maximum annual base salary we reasonably expect to pay for this role at the time of posting. The actual base pay could vary and may be above or below the listed range. The base pay is based on factors including but not limited to experience, competence, and demonstration of proficiencies essential for the role. The base pay is just one component of Talcott's total annual compensation for employees. Other compensation may include annual bonuses, long-term incentives, and recognition. This role is not eligible for visa sponsorship.

Equal Employment Opportunity

Talcott Financial Group is an equal employment employer. All qualified applicants will receive consideration without regard to race, color, sex, religion, age, national origin, disability, veteran status, sexual orientation, gender identity or expression, marital status, ancestry or citizenship status, genetic information, pregnancy status or any other characteristic protected by law. Talcott Resolution maintains a drug-free workplace.