Actuary Specialist, Asset Modeling

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As a team member in Finance at Nationwide, 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.

Job Profile Summary

Critical actuarial modeling role to support asset modeling development, and execution in Moody’s AXIS or MG-ALFA. Support valuation, forecasting, pricing, and risk management. Provide technical expertise to modeling methodologies. Assist implementation of complex asset types and investment strategies, oversee annual asset adequacy testing, and mentor team members. This role offers great visibility to senior leadership, opportunities for career growth, and flexible work arrangements.

Supportive, respectful work environment with strong commitment to professional development.

Job Description

Reports To:

AVP, Risk Modeling and Capital Management Leader

• Support developing and enhancing asset data processes, enabling efficient modeling of those assets for production and ad-hoc analysis purposes.
• Support the asset modeling function, translating strategic priorities into operational reality; align communication, accountabilities, resource capabilities, and internal processes to ensure measurable and sustainable results.
• Support implementation of complex asset types (structured securities, hybrid securities), investment/reinvestment strategies, cash flow behaviors, and regulations in Moody’s AXIS and MG-ALFA.
• Execute QE asset model staging for production, for multiple lines of business.
• Drive asset modeling for annual asset adequacy tests (AAT).

• Adequate Moody’s AXIS and/or MG-ALFA modeling skills with good understanding of asset modules, fund level assumptions, and reinvestment switches/options.
• Basic understanding of all investment asset types.
• Proficiency in at least one programming language for quantitative analysis (Python, R, MATLAB, SQL, etc.).
• Proficient in Microsoft Excel.
• Strong communication skills; able to articulate complex modeling concepts to senior leaders.

• 3 years of relevant asset modeling experience
• Working towards FSA Designation

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

Internal Compensation Grade: F4

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.

• 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.