Risk Analyst

The Risk Analyst will develop and perform analyses to facilitate a deeper understanding of a client’s expected future losses, claim trends and optimal program design, enabling our clients to make informed risk retention and risk financing decisions.

Job Responsibilities:

o This position’s primary focus will be on Casualty actuarial reports o Prepare a variety of analytic outputs based on the client’s data, including loss projection and stratification, collateral analysis, program comparison, dynamic capital model, captive feasibility study, and other ad hoc reports o Balance multiple projects at once and effectively communicate status of projects to internal stakeholders o Work collaboratively with managers and other teammates to collect and clean data, ensuring reporting is accurate, timely, and of high quality. o Communicate complex actuarial concepts to clients and internal associates with varying degrees of analytical acumen o Collaborate with internal team members to develop strategic solutions to a client’s insurance challenges o Collaborative review of third-party actuarial reports for accuracy and reasonability.

Education · BS/BA in actuarial science, mathematics, statistics, finance, or related business field.

Requirements

· Strong problem-solving skills · Strong communication skills · Ability to learn quickly · Ability to establish work priorities and manage time effectively · Ability to take initiative and ownership on projects · Proficiency with Microsoft Office products, particularly Excel · General understanding of Property and Casualty insurance preferred · Strong communication and interpersonal skills to ensure effective coordination with account teams and clients · Working towards completion of actuarial exams, ARM, or other comparable insurance education.

AI Proficiency Required: Intermediate: candidates should be able to:

• Effectively use generative AI tools for research, analysis, communication, and workflow optimization.
• Validate AI-generated outputs for accuracy and appropriateness.
• Apply sound judgment regarding data privacy, security, and regulatory requirements.
• Identify opportunities to improve team effectiveness through responsible use of AI.