Specialist, Risk Analytics Researcher; Data Engineering

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.

We are looking for a passionate and curious data professional with experience in P&C data collection - E&S/S, Standard Lines, both Personal and Commercial, and Farm. The ideal candidate will have experience with SQL, Python, R, and using tools like Databricks, Snowflake, Power

BI, and Verisk Touch Stone software.

This person will need to be curious about data. Why is it that way? Does that seem correct? What can I do to make this better? Constant improvement is better than delayed perfection.

This is an individual contributor role that would be paired with other more senior team members on the Enterprise Catastrophe Risk Management (ECRM) Data Team (DMAT).

DMAT is responsible for collecting, storing, validating, and publishing Nationwide’s Property data for Catastrophe Risk Management purposes and beyond. The ideal candidate would have a similar passion for data collection and validation. Unlike other ETL roles, on this team we own the process from beginning to end, we have insight into the “why” our data is critical and the “how” it impacts the Enterprise as a whole.

In this role, you will be responsible for meaningful work that impacts Nationwide's bottom line.

Because this role straddles the line between IT Professional, Property Underwriter, and Product Manager, the ideal candidate would be familiar with all three aspects of insurance or have a willingness to learn. Eventually, the candidate will be expected to know the business sufficiently to make accurate decisions with the data during validation efforts and reporting.

Additionally, this Team works with multiple business partners within Nationwide, providing critical information for decision making purposes. On this team you will have the opportunity to learn new technologies while impacting the financial results of Nationwide.

• 4+ years of data experience, with either: SQL, Python, and R
• 4+ years of experience, using tools:
  Databricks, Snowflake, MS SQL Server, and AWS
• Understanding of reporting tools like Tableau, Power BI, or Advanced Excel skills
• The ability to take data and turn it into actionable information
• Strong organizational skills, acute attention to detail
• Ability to work in a fast-paced team environment
• Solid communication, people interaction, with self-starter skills
• Willingness to partner with the business and other technology professionals to understand business needs and outcomes
• Familiarity with property underwriting and/or insurance background
• Most importantly, a willingness to learn new skills and grow within our organization

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, on occasion, applications from internal and external candidates working remotely who bring critical industry skills and relevant experience may be considered.

Internal Compensation Grade: F4

Do you have the desire to analyze data and perform groundbreaking research to drive business outcomes? Nationwide has been using data to serve our members and drive business outcomes for almost 100 years. Our industry-leading workforce adopts an agile work environment and a collaborative culture to deliver outstanding solutions and results. At Nationwide, our Risk Analytics Researchers play a key role in harnessing the power of data to deliver business results.

Specifically, they are responsible for modeling sophisticated problems, discovering insights and identifying business opportunities from data using a variety of techniques from…