Risk Analyst

Lockton; Atlanta (GA); On-site; USD 70,000 - 95,000; Full time

Job summary

Lockton is seeking a Risk Analyst to develop analyses that deepen understanding of a client's expected future losses, claim trends, and optimal program design to aid risk retention and financing decisions.

The role emphasizes casualty actuarial reports, data preparation, and communicating complex concepts to clients and internal teams, while collaborating to deliver high-quality outputs and strategic insurance solutions.

Qualifications

• 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.

Responsibilities

• This position’s primary focus will be on Casualty actuarial reports
• 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
• Balance multiple projects at once and effectively communicate status of projects to internal stakeholders
• Work collaboratively with managers and other teammates to collect and clean data, ensuring reporting is accurate, timely, and of high quality.
• Communicate complex actuarial concepts to clients and internal associates with varying degrees of analytical acumen
• Collaborate with internal team members to develop strategic solutions to a client’s insurance challenges
• Collaborative review of third-party actuarial reports for accuracy and reasonability.

Skills

Problem-solving

Communication

Fast learner

Time management

Ownership

Excel

Insurance knowledge

Education

BS/BA in actuarial science, mathematics, statistics, finance, or related field

Tools

Excel

Job description

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:

• This position’s primary focus will be on Casualty actuarial reports
• 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
• Balance multiple projects at once and effectively communicate status of projects to internal stakeholders
• Work collaboratively with managers and other teammates to collect and clean data, ensuring reporting is accurate, timely, and of high quality.
• Communicate complex actuarial concepts to clients and internal associates with varying degrees of analytical acumen
• Collaborate with internal team members to develop strategic solutions to a client’s insurance challenges
• 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.