Senior Finance Manager, Capital Markets

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The Treasury Capital Markets team is responsible for the oversight of Microsoft’s $120 billion in financial assets. Our goals include providing liquidity for Microsoft’s business operations and ensuring capital preservation through strategic risk management. We are risk managers, trusted advisors, and oversee cash and investment portfolios, execute Microsoft’s capital return strategy, and optimize the company’s capital structure to meet business needs. We are a compliance first organization with customer obsession and economics focus.

The Senior Finance Manager, Capital Markets will be responsible for portfolio and risk management analysis across capital markets and will tackle real-world problems, using quantitative analysis and a multi-disciplinary skillset to provide tangible solutions. We are looking for an experienced program manager who can leverage business and technology knowledge to deliver automation and process improvements. The individual should have a finance background, be a technically savvy with a proven record of successfully delivering cross-discipline solutions for a finance or Treasury team.

The risk management function is a critical part of the investment process, and the principal responsibility is to ensure the risks in the Treasury portfolio are fully understood by portfolio managers and senior management and are consistent with policy and compliance objectives. The role will also oversee the portfolio performance, attribution, and reporting processes.

A successful candidate demonstrates:

• Commitment to continuous learning and applying a growth mindset.
• Ability to use finance expertise to challenge existing processes, drive innovation, and deliver effective solutions.
• Skill in simplifying complex concepts to support Treasury risk management decisions.
• Experience adapting to changing priorities and collaborating effectively in a dynamic, team-oriented environment.

Required/Minimum Qualifications

• Bachelor’s degree in finance, accounting, or business AND 5+ years of experience in corporate treasury, finance, banking or accounting.
• 2+ years experience leveraging technology to solve finance and treasury challenges.
• 2+ years experience implementing advanced technology to automate capital markets forecasting, analytics, and reporting processes. Experience using data-driven approaches, including machine learning or AI, to enhance risk management and forecasting models.

Additional or Preferred Qualifications

• Bachelor's Degree in Finance, Accounting, or Business; AND 8+ years experience with background in treasury, finance, banking, or accounting, OR
  • Master's Degree in Business Administration(MBA) or Science in Finance (MSF); AND 5+ years experience with background in treasury, finance, banking, or accounting, OR
  • equivalent experience.
• 2+ years experience leveraging technology to deliver finance and treasury solutions, with coding proficiency in Python, R, or SQL and experience in data engineering practices.

Additional Information:

• Partner with portfolio managers to ensure capital markets risks are understood and aligned with policy guidelines.
• Ensure integration and compliance of Treasury portfolio activities with investment policy requirements. Collaborate with Treasury controllers on compliance tools and preparation of risk reports for financial reporting.
• Collaborate with teams across Central Finance to build long-term cash flow models supporting portfolio investment and capital return strategy.
• Monitor and maintain the analytical and risk management framework for the portfolio, including reporting metrics and dashboards.
• Oversee performance reporting, analytics, and attribution. Ensure portfolios and benchmarks are accurately set up across internal and third-party systems. Maintain performance dashboards and prepare monthly summaries with attribution metrics.
• Implement advanced technology to automate capital markets forecasting, analytics, and reporting processes. Use data-driven approaches, including machine learning or AI, to enhance risk management and forecasting models.
• Contribute to macroeconomic analysis and support the investment process. Apply insights from strategy meetings and external research to model and propose asset allocation strategies based on risk/return frameworks.