Sr. Risk Analyst - Commercial Property and Casualty Insurance (Remote)

Marsh McLennan•Atlanta, GA

4d•Remote

About The Position

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn’t happen overnight. It’s a result of hard work by extraordinary people. The industry’s brightest talent drives our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can make your mark as a Senior Risk Analyst , at McGriff Specialty , a division of Marsh McLennan Agency (MMA) . Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With offices across North America, we combine the personalized service model of a local consultant with the global resources of the world’s leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. We are seeking a detail-oriented and client-focused Senior Risk Analyst to join our Risk Services Analytics team. At McGriff Specialty, we offer a full range of analytical services. Our dedicated team of analysts are focused on helping our commercial insurance clients make informed decisions by providing statistically sound data and projection modeling. This role is critical in delivering high-impact insights and reporting for our commercial insurance clients, agents and account servicing teams. In this role, you will work closely with internal stakeholders and external clients to analyze loss trends, develop dashboards, and support data-driven decision-making across multiple lines of business. Important: This will be a remote role with the ideal location being near one of our offices in the Eastern or Central time zone. Our future colleague. We’d love to meet you if your professional track record includes these skills: We know there are excellent candidates who might not check all of these boxes. Don’t be shy. If you’re close, we’d be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We’ve built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfilment outside of work.

Requirements

Bachelor’s degree in data science, Statistics, Actuarial Science, or a related field.
2+ years of experience in data analysis within the insurance industry.
Proficiency in SQL and Python (or R).
Experience with data visualization tools (e.g., Power BI, Tableau, Qlik).
Strong understanding of insurance data, including claims, premiums, and exposures.
Excellent communication skills and a client-service mindset

Nice To Haves

Origami Risk RMIS experience.
Experience working with commercial lines, personal lines, or employee benefits data.
Familiarity with insurance regulatory reporting (e.g., NCCI, ISO).
Knowledge of data warehousing concepts and tools.
Exposure to predictive modeling or statistical analysis.
Agile project experience or certification.

Responsibilities

Analyze claims, policy, and exposure data to identify trends in loss frequency, severity, and cost drivers for commercial insurance clients, risk managers and company leadership.
Assist in the ongoing loss data optimization by extracting, cleaning, and transforming data from various internal and external data sources.
Collaborate with account teams and clients to understand reporting needs and deliver actionable insights on a recurring basis for a variety of commercial insurance clients, policies, coverages and risk programs
Develop and maintain loss analysis dashboards and reports for internal teams and clients.
Support underwriting, claims, and actuarial teams with data extracts, visualizations, and ad hoc analysis.
Ensure data accuracy, integrity, and compliance with regulatory and client-specific requirements.
Present findings to both technical and non-technical audiences, including senior leadership and clients.
Contribute to the automation of recurring reports and the enhancement of data infrastructure.