Asset Liability Management Professional

Location & Work Arrangement

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

Work schedule:

3 days in office, 2 days remote. This role does not qualify for employer-sponsored work authorization.

As a Professional on the Investment Risk Asset/Liability Management (ALM) Team, you will be an important contributor to the development of investment strategy and risk targets across the organization, helping the company grow the funds necessary to serve our customers. You will leverage your investment and risk management expertise to evaluate asset classes through an ALM lens, ensuring alignment with risk, return, and liquidity objectives.

Key responsibilities include providing investment income forecasting, leading the automation and modernization of the ALM reporting ecosystem, supporting asset modeling for pricing, ALM, and corporate risk, and offering investment risk and strategy recommendations to senior leadership. You will also assist on additional investment risk and ALM–related research projects.

• Shapes ALM strategies by analyzing investment portfolios, interest rate risks, and liquidity needs to optimize balance sheet performance.
• Collaborates with investment teams to assess long‑term asset allocation, evaluate long‑term trends, and provide insights on investment risks and opportunities as they relate to ALM objectives.
• Leads the Net Investment Income forecasting process, including preparing and reviewing quarterly forecast assumptions, new money rate assumptions, and client‑specific deliverables.
• Leads the automation and modernization of legacy Net Investment Income forecasting models, designing and implementing scalable solutions and modernizing reporting structures for client deliverables using Power BI/Tableau.
• Monitors capital markets to build and update investment assumptions used in ALM tools and applications, developing and maintaining assumptions, including complex statistical analysis of historical data and trends.
• Maintains and enhances asset modeling to support pricing, ALM, corporate risk model, and investment income and capital forecasting, utilizing deep knowledge of all types of investments on the balance sheet and complex models of prepayments/cash‑flow risk, interest rate risk, credit risk, equity market risk, and inflation risk.
• Partners with other members of the Investment Risk‑ALM and Product ALM teams to maintain investment pool assumptions and strategies, analyze new purchase cash flow, and ensure accurate alignment of asset terms and holdings data.
• Serves as the primary Investment Risk‑ALM team representative in the enterprise platform redesign initiative, identifying and communicating ALM‑related issues, providing actionable feedback, and collaborating with stakeholders to create effective solutions.
• Partners with senior members to add new asset classes and strategies in the proprietary ALFA model to generate model results for distribution.
• Recommends adjustments to the calibration of the Office of Investments' incentive performance (OIP) scorecard, using the eVestment database of peer investment manager performance.

May perform other responsibilities as assigned.

Reports to Asset Liability Management Leader.

Education: Undergraduate degree in finance or a quantitative field. Graduate degree preferred.

License/Certification/Designation: Chartered Financial Analyst (CFA) or actuarial designation (FSA or ASA) preferred.

Experience: 5 or more years in investments and/or insurance company experience. Experience in asset liability management strongly desired; experience in investment risk management considered. Experience in fixed‑income, equity, alternative, and derivative asset classes gained through investment management. Proficiency with Python, SQL, and advanced analytical tools such as Bloomberg, Fact Set, FIRM, ADVISE, MG‑ALFA, GGY‑AXIS, MATLAB is a plus.

Knowledge, Abilities and

Skills:

Working knowledge of data‑related Python packages (pandas, numpy), basic object‑oriented programming, and data processing. Deep understanding of…