Director, Capital Strategy, Liquidity & Rating Agency Relations

Key Responsibilities

• Evaluate, structure, and execute capital markets transactions, including debt issuances, hybrid securities, alternative financing arrangements, and other capital initiatives.
• Partner with banks and financial institutions to assess market conditions, pricing dynamics, investor demand, and optimal transaction timing.
• Develop forward-looking capital structure strategies that balance growth, liquidity, leverage, and rating considerations.
• Analyze market trends and comparable transactions to inform strategic financing decisions.
• Clearly communicate capital strategy, credit considerations, and rating implications to senior leadership in a concise, decision-oriented manner.
• Cook up transaction execution across internal stakeholders, external advisors, and banking partners.

Enterprise Liquidity Strategy & Forecasting

• Own development and oversight of consolidated enterprise liquidity projections, integrating operating cash flows, financing plans, capital deployment, and stress scenarios.
• Lead short- and long-term liquidity planning to ensure adequate financial flexibility under base and stressed conditions.
• Establish and monitor liquidity risk metrics, funding triggers, and early warning indicators.
• Develop contingency funding frameworks aligned with rating agency expectations and risk appetite.
• Partner with Treasury, FP&A, and business leaders to align liquidity forecasts with operating plans and strategic initiatives.
• Provide liquidity analysis and forward-looking funding insights for executive and Board-level materials.

Financial Modeling, Analytics & AI Enablement

• Own and enhance the enterprise capital and liquidity model, integrating capital structure alternatives, cash flow forecasting, covenant compliance, and rating agency metrics into a unified decision-support framework.
• Perform scenario analysis and stress testing to assess impacts on leverage, financial flexibility, and credit ratings.
• Champion adoption of artificial intelligence and advanced analytics tools to enhance forecasting precision, automate recurring analyses, and improve decision speed.
• Identify opportunities to streamline covenant tracking, market monitoring, scenario modeling, and credit metric reporting through AI-enabled solutions.
• Partner with Finance, Data, and Technology teams to build scalable analytics capabilities and strengthen data governance standards.
• Serve as a thought partner to the broader Finance organization on emerging AI applications in capital management and risk analysis.

Rating Agency Management & Credit Stewardship

• Serve as strategic lead in shaping and delivering the company’s external credit narrative.
• Lead preparation and completion of annual rating agency surveys and recurring information requests.
• Develop comprehensive rating agency presentations, including business overview, financial performance, forward outlook, capital strategy, liquidity profile, and key credit metrics.
• Prepare for and coordinate annual and semi-annual rating agency meetings, including messaging alignment, materials preparation, and follow-up.
• Monitor rating agency methodologies, sector outlooks, and credit criteria; assess potential impacts on the company’s ratings.
• Advise senior leadership on rating-sensitive decisions and external communication strategy.

Corporate Insurance Program Oversight

• Develop cross-functional knowledge of the company’s corporate insurance program design and administration to ensure continuity and institutional depth.
• Participate in renewal processes, broker engagement, coverage analysis, and carrier discussions.
• Evaluate insurance structures, limits, deductibles, and pricing to ensure alignment with enterprise risk appetite and capital objectives.
• Integrate risk transfer considerations into broader liquidity and capital planning frameworks.

Core Competencies

• Capital Strategy & Market Execution – Deep understanding of debt markets, financing structures, and transaction processes.
• Liquidity & Funding Leadership – Ability to design, forecast, and manage enterprise liquidity with a forward-looking, risk-aware lens.
• Credit & Ratings Expertise – Working knowledge of rating agency frameworks, methodologies, and credit drivers.
• Analytical Excellence – Advanced financial modeling and ability to synthesize complex data into clear strategic insights.
• Executive Communication – Ability to articulate complex financial concepts to senior leadership, Boards, financial institutions, and rating agencies.
• Strategic Judgment – Balances growth, leverage, liquidity, and rating considerations in decision-making.
• Innovation & Digital Fluency – Comfort leveraging AI and advanced analytics to modernize finance processes and improve decision support.
• Relationship Management – Proven ability to build credibility with internal stakeholders and external financial partners.

Required Skills & Qualifications

• Bachelor’s degree in Finance, Economics, Accounting, or related field (MBA or CFA preferred).
• 7–12+ years of experience in capital markets, corporate finance, treasury, or investment banking.
• Demonstrated experience leading or supporting capital markets transactions.
• Experience managing or engaging with rating agencies.
• Advanced financial modeling skills and strong presentation capabilities.
• Strong understanding of credit metrics, capital structures, covenant frameworks, liquidity planning, and financial risk management.
• Familiarity with corporate insurance programs or enterprise risk financing structures preferred.
• Excellent written and verbal communication skills with executive presence.

AI Proficiency Expectations

• Leverage approved AI tools, where appropriate, to improve the efficiency, quality, and impact of their work.
• Stay curious and open to new AI-enabled ways of working.
• Exercise sound judgment by reviewing and validating AI-generated content.
• Maintain accountability for the accuracy, quality, fairness, and integrity of work products by adhering to National Life’s AI guiding principles.
• Use AI responsibly and in accordance with company policies related to confidentiality, data privacy, security, compliance, retention and intellectual property.