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Treasury – Global lead of liquidity and collateral

The Liquidity & Collateral Lead will be responsible for developing and enhancing liquidity forecasting frameworks, collateral management analytics, and enterprise stress testing capabilities. The role works closely with teams across Treasury, Investments, Risk, and Finance to ensure the organization maintains strong liquidity positioning under both normal and stressed conditions.

Key responsibilities include:

  • Lead the design and ongoing enhancement of cash flow, liquidity, and collateral forecasting frameworks, including stress testing methodologies, assumptions, and reporting metrics across consolidated and legal entity levels
  • Build and maintain enterprise liquidity stress testing models, ensuring alignment with internal risk appetite and regulatory expectations
  • Develop and maintain liquidity contingency planning frameworks, monitoring limits and producing reporting that supports proactive liquidity management
  • Partner with Treasury, Risk, Investments, and Finance teams to monitor and optimize liquidity and collateral resources across the organization
  • Support the development of integrated liquidity and capital stress testing processes
  • Identify opportunities to enhance models, analytics, and operational processes, improving scalability, accuracy, and controls
  • Contribute to financing and capital markets transactions, including analysis and structuring of funding arrangements with financial counterparties when required

Qualifications:

  • Approximately 5+ years of experience in Treasury, Capital Markets, or a related finance function within the financial services industry
  • Experience in insurance, asset management, banking, or other complex financial institutions preferred
  • Understanding of financial markets, fixed income instruments, and market conventions
  • Demonstrated ability to drive process improvements and implement analytical solutions in a complex environment
  • Bachelor’s or Master’s degree in finance, economics, mathematics, or another quantitative discipline
  • Professional certification (CFA, FRM, or similar) completed or in progress is preferred
  • Strong financial modeling and analytical capabilities, with experience working with large financial datasets
  • Excellent attention to detail with the ability to analyze complex financial scenarios and translate insights into actionable outcomes