Quantitative Investment Analyst – SAA

Talcott Financial Group•Hartford, CT

4d•$120,000 - $175,000

About The Position

Talcott Financial Group is seeking an Investment Analyst for its Strategic Asset Allocation (SAA) Design team. This new role will design and build analytical tools that support SAA strategy development and asset deployment planning across more than $50 billion in general account assets, including legal entities in the United States, Bermuda, and the Cayman Islands. The analyst will use AI-assisted development to build well-validated models and tools that can be put into production and support changing business needs. The role focuses on the intersection of quantitative finance, insurance asset management, and AI. The analyst will work with Investment Analytics and collaborate across Investments, Corporate Development, ERM, and Actuarial teams. The role also supports investment committee and senior leadership reporting by explaining SAA rationale, tool methodology, and relevant findings. Talcott Financial Group is an international life insurance company with more than $136 billion in assets under management and offices in Bermuda, the Cayman Islands, Connecticut, New York, and North Carolina.

Requirements

2–7 years of experience in a quantitative finance role within investment management; a graduate degree in quantitative finance, computer science, mathematics, or a related field may be considered in place of experience.
Strong quantitative and analytical skills and understanding of portfolio theory, optimization, capital markets, and risk modeling.
Knowledge of insurance products, ALM, liability-driven investing, and fixed income.
Programming expertise in MS SQL, Python, or another programming language.
Strong Excel and PowerPoint skills.
Hands-on use of AI or agentic AI tools to build working prototypes, or clear evidence of the ability to adopt them rapidly; understanding of AI-generated output limitations and how to specify, test, and validate it.
Strong aptitude and interest in learning new domains quickly, including SAA, ALM, and insurance investment concepts.
Strong general and technical communication skills, including the ability to explain complex financial and mathematical concepts to a wide range of stakeholders and document models and tools clearly for users and validators.
Creativity and excellent problem-solving abilities in analytical environments.
Ability to work independently and contribute effectively to a collaborative team.
Must be authorized to work in the United States on a full-time basis without current or future visa sponsorship.

Nice To Haves

Progression toward CFA and/or ASA/FSA.
Familiarity with insurance asset management, ALM, and regulatory capital frameworks.
Familiarity with Power BI and Microsoft Fabric.

Responsibilities

Build strategic asset allocation tools and analytics for portfolio optimization, scenario analysis, evaluation of risk, return, and capital-efficiency trade-offs, and asset deployment planning for new business, deal pricing, and onboarding new mandates.
Develop a working understanding of underlying SAA, optimization, and ALM models and integrate them into new model builds.
Use AI as a core part of the development process while ensuring tools are robust, validated, and technically sound.
Work with the Investment Analytics team on model design and integration into the broader investment platform.
Collaborate with Investments, Corporate Development, ERM, and Actuarial teams to incorporate capital market assumptions, liability characteristics, and enterprise objectives.
Assist in preparing materials for investment committees and senior leadership, communicating SAA rationale, tool methodology, and relevant insights.