Actuarial Sr Analyst, PC - Commercial Lines

As a team member in the Finance department at Nationwide, the opportunities are endless! You can grow and learn in diverse areas across many disciplines such as Advanced Analytics, Investments, Actuarial, Accounting, Risk Management, Critical Business Advisor, Internal Audit, and so much more. Let Nationwide help create your career journey! At Nationwide®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care.

Commercial Lines - Actuarial Sr Analyst, PC

About the Job:

Primary Responsibilities of this role include the following:

• Completing annual WC Rate Reviews.
• Preparing WC filings to DOI review.
• Analyzing internal and industry data for WC to support rate review and indications.
• Review of WC data tables for accuracy and reporting of issues.
• Misc. projects as needed.

Additional Information:

This exciting opportunity is part of Nationwide's Actuarial Student Program, designed to support your professional growth through exam support and rotational assignments across various actuarial functions.

Technical Skills:

We are looking for candidates with a solid foundation in Excel and SQL. While not required, experience with Python, R, and Power BI would be a plus!

Why Nationwide?

At Nationwide, we believe in investing in our people. As an Actuarial Analyst, you'll have the opportunity to work on challenging projects, collaborate with experienced professionals, and make a real impact on our business.

If you're a motivated and analytical individual with a passion for actuarial science, we encourage you to apply!

Work Arrangements: Then preferred to work location, will be hybrid with 2 days per week at one of our office locations in Columbus, OH, Des Moines, IA, or Scottsdale, AZ. Relocation assistance may be provided.

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Job Description Summary

Our Property and Casualty (P&C) Actuarial team members have opportunities to use state-of-the-art tools, are encouraged to innovate and learn to master actuarial methodologies. If this sounds like a place you could thrive, then we want to know more about you!

As a Senior Analyst, you’ll be expected to learn about the insurance and finance industry, products Nationwide provides and a variety of actuarial software. You will be trained in company and business operations while performing mathematical and quantitative actuarial analyses essential to the success of Nationwide and the protection we provide our customers.

This position is expected to be a part of the P&C Actuarial Rotation Program, which will give you the potential opportunity to work on various actuarial, analytics, and risk management teams to learn and develop across different actuarial functions. You will be expected to participate in three rotations of two years each. Full program details will be provided to you upon your start date.

Job Description

Key Responsibilities: 

• Begins to develop knowledge of actuarial methodologies, allowing the ability to source and manipulate data within standard requirements.

• Conducts analysis, that adheres to actuarial standards, by selecting appropriate data sources and making assumptions to develop recommendations. Notes any unreasonable results and reports to leader.

• Documents assumptions, methods, sources, and considerations in an organized fashion.

• Prepares actuarial findings and documents that are suitable for technical and non-technical audiences.

• Adheres to assigned work schedule to ensure timely completion of individual tasks and group projects. Notifies leadership anticipating of any possible missed deadlines.

• Participates in peer reviews to increase collaboration, ensure quality work, and drive innovation.

• Begins developing business relationships across property and casualty multi-channel finance to provide extraordinary care to all customers.

• Completes all required training in a timely manner.

• Develops understanding of data mining techniques used to identify new relationships in data. Gains unders