Vice President, Asset Analytics and Asset Liability Management

Accountabilities

• Define and execute the strategic direction for enterprise asset analytics and ALM, ensuring alignment with business objectives, financial performance, and capital requirements.

• Lead, develop, and mentor multidisciplinary teams of asset modelers, investment analysts, actuaries, and finance professionals.

• Oversee enterprise asset models, ALM frameworks, optimization analyses, and asset-related projections supporting pricing, valuation, capital management, financial planning, and risk management.

• Partner with investment leadership to guide strategic asset allocation, portfolio construction, and asset optimization while ensuring alignment with liability obligations and risk appetite.

• Drive the modernization of modeling and analytics capabilities through automation, scalable platforms, improved reporting, and streamlined processes.

• Establish effective governance structures, operating models, prioritization frameworks, and performance standards to strengthen accountability and execution.

• Deliver executive-level insights and recommendations on portfolio composition, investment performance, asset strategies, and emerging market developments.

• Build strong cross-functional relationships with senior stakeholders across Investments, Finance, Actuarial, and Risk to influence strategic decisions and support enterprise-wide objectives.

• Improve analytical processes, reduce manual workloads, and ensure the reliability and transparency of asset projections and recommendations.

Requirements

• At least 15 years of experience in life insurance or annuity investments, asset analytics, Asset Liability Management, or related leadership positions.

• Extensive expertise in ALM, insurance asset strategies, investment spreads, balance sheet management, and insurance company economics.

• Strong understanding of insurance investment structures, regulatory capital frameworks, and the financial dynamics of life insurance and annuity businesses.

• Demonstrated experience leading enterprise asset models, investment analytics, forecasting, and quantitative analysis across multiple asset classes.

• Knowledge of life insurance and annuity products, including their underlying liability cash flows and investment requirements.

• Proven track record of building, leading, and developing high-performing technical and quantitative teams.

• Professional designation such as CFA, CAIA, FSA, or another relevant investment, actuarial, or quantitative credential.

• Bachelor's degree in Finance, Economics, Mathematics, Statistics, Engineering, or a related quantitative discipline; an advanced degree is preferred.

• Exceptional communication and presentation skills, with the ability to translate sophisticated quantitative concepts into clear executive-level recommendations.

• Strong strategic thinking, analytical problem-solving, stakeholder management, and decision-making abilities.