AVP, Asset Liability Management (ALM) Quantitative Analyst

About Our Company

Aflac Asset Management, LLC, (d.b.a. Aflac Global Investments) is a wholly owned subsidiary of Aflac Incorporated (Aflac). Aflac Global Investments (GI) located in New York’s financial district and is the organization responsible for the overall investment activities of Aflac, Inc. and subsidiaries in Japan, Bermuda, and the U.S.  With 150 employees globally, GI seeks investments to maximize long-term returns with a focus on preservation of capital, subject to our asset-liability profile and liquidity and capital requirements.  GI has primary investment and asset management responsibility for Aflac’s general account consisting of public, private, and growth assets (including strategic partnerships) which generates approximately $3.5 billion a year in net investment income.  As of year-end 2024, Aflac’s total general account portfolio was approximately $100 billion.

 

The investment teams support GI’s overall goals and objectives by providing market insight and in-depth knowledge of assigned asset classes. GI oversees the strategic deployment of capital for life and supplemental health insurance company balance sheets utilizing both internal teams and external third party asset managers.

 

POSITION SUMMARY

 

Working as a member of Aflac Global Investments (GI) and the Global Investments Risk Management (GIRM) team, participate in Asset Liability Management (ALM) strategy development and associated analytics for investment and investment related activities in Aflac’s subsidiary, Aflac Asset Management LLC (AAMLLC). Collaborate with investment, actuaries and risk functional teams to ensure alignment of investment strategy with liability structures. In addition to investments, this person will also support Aflac’s global reinsurance strategy.

 

 

KEY RELATIONSHIPS

 

Reports to:                Vice President, Asset Liability Management (ALM) Manager – Aflac Global Investments Risk Management

 

Primary

Relationships:          GIRM team members, Quantitative Analytic Solutions team, GI information technology, GI business leaders and staff, Enterprise Risk Management and ALM team, business partners including accounting, tax, legal, actuarial, treasury
           

 

OVERALL RESPONSIBILITIES

 

• Participate in navigating complex regulatory insurance landscape and help develop internal controls around Asset Liability Management (ALM) for Aflac Asset Management, LLC and any of Aflac’s subsidiaries including Aflac Asset Management of Japan and Aflac Bermuda Reinsurance. 
• Provide advice and support for risk analysis and reporting, hedging strategies, regulatory compliance for Aflac, assisting with areas such cash management and liquidity, while optimizing capital allocation strategy(ies).
• Solve for key market challenges by applying both qualitative and quantitative solutions including advanced statistical analytics, risk methodology transitions, model enhancements and stress testing; consider macroeconomic and regulatory environments for financial institution.
• Support the development of ALM strategy based on quantitative and qualitative analysis to meet business needs.
• Work and develop asset and liability modeling and analytics
• Support economic and regulatory capital modeling and analytics
• Participate in presentation of oral and written analyses and concepts, including management recommendations, to senior management
• Collaborate with Quantitative Analytic Solutions team to support ALM strategy
• Collaborate with Global Risk, Japan Investment Risk Management (JIRM), Capital Modeling and Actuarial teams to support enterprise ALM initiatives
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CANDIDATE QUALIFICATIONS

 

• 6+ years of relevant work experience in financial services risk management (preferably life insurance), either in industry, or as a consultant
• Master’s Degree in quantitative fields such as Financial Engineering, Mathematical Finance, Mathematics, Actuarial Science or a related major is desirable
• CFA, FRM, Actuarial credentials (ASA or FSA) or similar investment risk management credentials a plus
• Strong model development experience in programming languages such as Python, C# and