Sr Consultant, Risk Researcher

As a team member in Finance at Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless! 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.

Nationwide's Catastrophe Risk Modeling team serves as a specialized enterprise capability focused on understanding and quantifying catastrophe exposure across physical property portfolios and weather-related risk scenarios. The team combines catastrophe analytics, research, and data engineering to help the business better understand risk and support more informed decisions across the enterprise.

Reporting to the Director, Catastrophe Risk Modeling this role is a strong opportunity for a data-driven actuarial professional who enjoys working at the intersection of catastrophe research, analytics, and modern data engineering.

The Sr Consultant, Risk Researcher will help strengthen how catastrophe-related data is sourced, validated, transformed, and delivered so the team can produce high-quality analytics and more actionable insight for business partners.

This is a compelling fit for someone who likes hands-on analytical work, enjoys solving data quality and pipeline challenges, and wants to contribute to a team that turns complex risk data into meaningful business value.

• Support catastrophe risk research and analytics tied to physical property, weather, and catastrophe exposure data.
• Build, enhance, and maintain data pipelines and ETL processes that prepare data for research, modeling, and reporting use cases.
• Use tools such as SQL, Python, R, Databricks, and Snowflake to source, transform, validate, and manage large datasets.
• Support data validation and reporting workflows that help ensure outputs are accurate, consistent, and decision-useful.
• Contribute to process improvement and automation efforts that make catastrophe analytics more efficient, scalable, and impactful.

• Bachelor's degree in a quantitative field such as data science, statistics, mathematics, actuarial science, computer science, engineering, finance, or a related discipline.
• ACAS level actuary credential required; additional progress toward FCAS credential preferred
• Previous professional experience in P&C pricing or reserving position (catastrophe modeling specific experience highly preferred)
• Strong SQL capability and working proficiency in Python and/or R.
• A naturally curious, detail-oriented approach, with the judgment to question results, investigate discrepancies, and improve the quality of outputs.

This role does not qualify for employer sponsored work authorization. Nationwide does not participate in the STEM OPT extension program.

It is our intention to fill this role in Columbus, OH. However, applications from candidates working remotely who bring critical industry skills and relevant experience may be considered.

National salary range: $-$. Expected starting salary range: $ - $.

We have an array of benefits to fit your needs, including: medical/dental/vision, life insurance, short and long term disability coverage, paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date, nine paid holidays, 8 hours of Lifetime paid time off, 8 hours of Unity Day paid time off, 401(k) with company match, company-paid pension plan, business casual attire, and more.

To learn more about the benefits we offer, .

Nationwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected and engaged. Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic (or classification) protected by applicable law.

This position could be filled within any of the lower 48 U.S. states.