Head of Treasury Markets

Interest Rate, Debt Markets & Market Risk Management

• Build interest rate risk management capabilities for corporate liquidity, financing, infrastructure, and other business exposures where rate movements can create material financial volatility.
• Assess enterprise and other material market risks exposures where can create financial volatility, partnering with business owners to size risk, evaluate alternatives, and recommend Treasury's role when support is needed.
• Develop risk frameworks, dashboards, scenario analysis, and decision support for interest rate exposure, capital structure alternatives, balance sheet implications, hedging, commodities exposure, and operating decisions that require Treasury input.
• Evaluate capital structure alternatives and instruments across the balance sheet and credit stack, rating agency implications, risk and governance requirements, process discipline, and related fixed income or derivative instruments where relevant to rate-risk and market-risk management.

Cross-Company Financial Analysis

• Support priority cross-company initiatives with rigorous financial analysis, clear recommendations, and disciplined execution support.
• Support other areas in Treasury as needed, especially Treasury Operations, Trade Finance, and Insurance, bringing analytical rigor and execution support without making those areas the core mandate.
• Build business-case models for funding needs, liquidity impact, risk-adjusted returns, sensitivity analysis, and decision tradeoffs.
• Translate complex investment, FX, rates, liquidity, tax, accounting, capital structure, credit market, rating agency, risk, governance, and capital allocation topics into concise recommendations for senior leadership and Board-level audiences.

AI-Driven Treasury Leadership

• Build AI-enabled workflows that improve speed, visibility, control, and auditability across investments, FX, interest rate risk management, capital structure analysis, and related financial analysis.
• Use approved AI tools, within established security, confidentiality, and governance controls, to improve recurring Treasury analysis, risk identification, and executive decision support.
• Partner with Finance, Engineering, Data, and Product teams to develop scalable, AI-native treasury infrastructure with appropriate review, documentation, and governance.

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