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Specialist, Capital Forecasting

Job in Columbus, Franklin County, Ohio, 43224, USA
Listing for: Nationwide Insurance
Full Time position
Listed on 2026-01-13
Job specializations:
  • Finance & Banking
    Financial Analyst, Risk Manager/Analyst, Financial Consultant
Job Description & How to Apply Below

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.

Internal Comp Grade is F4

This role sits within the Rating Agency Management and Capital Forecasting team in Enterprise Risk Management. Specifically, this role is responsible for the production of P&C Return on Capital (RoC) and Capital Sources & Uses metrics, as well as enterprise capital reporting. This role also assists with establishing a consistent and robust P&C capital monitoring and reporting framework used to make capital deployment decisions.

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. The hired associate must reside within 35 miles of One Nationwide Plaza, Columbus OH, 43215.

This position will be hired on a Success Flex basis. You will be required to come into the office two days per week.

Job Description Summary

Do you have the desire to play a critical role in driving data‑based business outcomes? Nationwide has been using data to serve our members and drive business outcomes for almost 100 years. Our industry‑leading workforce accepts an agile work environment and a collaborative culture to deliver outstanding solutions and results. Our Risk Analytics professionals play a key role in redefining quantitative data analysis into meaningful insights that drive business results.

Specifically, they serve as the conduit joining quantitative risk analysts to business partners.

As a Specialist, you’ll work on various risk analytics projects to help solve diverse business problems. You’ll continue building a foundation of business understanding and relationships. It’s imperative that you have experience with quantitative analytics and that you are able to clearly articulate solutions.

Key Responsibilities
  • Understands and assesses key needs and is responsible for developing the appropriate quantitative modeling solutions.
  • Collaborates with departments across the organization or business functions to support strategic goals, objectives, and initiatives.
  • Builds risk analytic solutions for business problems through collaborating, consulting and driving expectations.
  • Collaborates with partners and teammates to ensure that consistent model assumptions, processes and outputs are well understood and that modeling standard methodologies are upheld.
  • Crafts clear and concise summaries of findings and recommendations with support. Uses impactful storylines and data visualization geared to both technical and non‑technical audiences.
  • Develops, tests, implements and administers sophisticated quantitative modeling processes and tools.
  • Evaluates and ranks quantitative solutions to business problems.
  • Communicates the key benefits and limitations of sophisticated modeling tools for business applications.
  • Works across teams to ensure governance of modeling tools are applied consistently.

May perform other responsibilities as assigned.

Reporting Relationships: Reports to Risk/Actuarial leader.

Typical Skills and Experiences

Education: Undergraduate studies in finance, accounting, economics, statistics, mathematics or related subject area required. Graduate‑level studies in a related field with advanced degree highly desirable.

License/Certification/Designation: Progress toward FCAS, FSA, CQF, CFA or similar preferred.

Experience: Typically, three or more years of related work experience in financial risk modeling or actuarial functions.

Knowledge, Abilities and

Skills:

Basic knowledge of machine learning, stochastic processes, Monte Carlo simulations, sampling methods and other statistical techniques applicable to specialized risk modeling. Basic mathematical knowledge of specialized risk models such as those used in hedging, economic scenario generation, catastrophe, credit risk, etc. Basic knowledge of risk management operations such as asset‑liability management, portfolio risk assessment,…

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