Compliance Internship

Talcott•Hartford, CT

6d•Hybrid

About The Position

Talcott’s ten-week Summer Internship Program offers students hands-on exposure to real-world challenges, with training in market dynamics and industry fundamentals, educational workshops, peer networking events, and direct exposure to senior leadership. The selected intern will work on a hybrid schedule in Talcott’s Hartford, Connecticut office. The intern will gain exposure to how insurance, reinsurance, and annuity transactions operate within the regulatory frameworks of state Departments of Insurance (DOI), FINRA, and the SEC. Working collaboratively with multiple business stakeholders, the intern will support department priorities for continuous improvement and gain exposure to the department’s use of AI-enabled tools to improve workflow efficiency and consistency.

Requirements

Be a current college student presently enrolled.
Demonstrate strong written and verbal communication skills.
Have proficiency in research, writing, and analytical skills.
Exercise professional judgment and discretion when handling sensitive information.
Show strong attention to detail and the ability to accurately summarize insurance concepts.
Be comfortable working with emerging technologies and ambiguity.
Have solid proficiency in MS Office and related technologies.

Nice To Haves

Coursework or experience in a business-related curriculum.
Interest in legal innovation, AI-enabled research tools, corporate growth, and/or regulated financial services.

Responsibilities

Support initiatives to improve transaction readiness for mergers, acquisitions, and strategic partnerships by developing research outputs and risk summaries that contribute to a diligence-ready posture.
Help create reusable legal content optimized for technology-assisted use, such as issue briefs, annotated references, checklists, and decision guides.
Provide input on controls for AI-assisted work, including documentation standards, review checklists, and repeatable validation.
Assist with implementing practical AI governance practices to support accuracy and verification of workflows and ensure analyses and summaries are supportable.