Quantitative Investment Analyst AI-Driven Asset Allocation

Talcott Financial Group; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Talcott Financial Group is seeking an Investment Analyst to join the Strategic Asset Allocation design team in a new role. You will build analytics powering the SAA process and deploy AI-assisted tools to deliver well-validated models for production use in dynamic business needs.

The role requires strong quantitative finance skills, experience with ALM, and programming in Python/SQL; familiarity with Power BI and Fabric is a plus.

Qualifications

• 2–7 years of experience in a quantitative finance role within investment management.
• Graduate degree in quantitative finance, computer science, mathematics or related field; CFA/ASA a plus.
• Familiarity with insurance asset management, ALM and capital frameworks preferred.
• Strong programming skills in SQL, Python or another language; Excel and PowerPoint proficiency.
• AI proficiency and ability to develop robust, validated prototypes.

Responsibilities

• Scope of $50bn+ of general account assets including US, Bermuda and Cayman entities.
• Design and optimize SAA tools and analytics for portfolio optimization and scenario analysis.
• Develop understanding of SAA, ALM models for integration into new builds.
• Use AI as a core part of the build process with validation and robustness.
• Collaborate with Investment Analytics and cross-functional teams to reflect capital market assumptions.
• Prepare materials for investment committees and senior leadership on SAA rationale and insights.

Skills

Quantitative finance

Portfolio theory

Risk modeling

ALM

Python

SQL

Excel

Power BI

AI proficiency

Communication skills

Learning agility

Teamwork

Education

Graduate degree in quantitative finance, CS, or mathematics

Tools

MS SQL

Python

Power BI

Microsoft Fabric

Job description

Talcott Financial Group is seeking an Investment Analyst to join the Strategic Asset Allocation design team in a new role. You will build analytics powering the SAA process and deploy AI-assisted tools to deliver well-validated models for production use in dynamic business needs.

The role requires strong quantitative finance skills, experience with ALM, and programming in Python/SQL; familiarity with Power BI and Fabric is a plus.