Senior Vice President, Treasury Manager

We’re seeking a Senior Vice President, Treasury and ALM to join our Corporate Treasury team in Pittsburgh.

• Providing senior-level expertise and thought leadership in liquidity risk management, with a focus on Liquidity Stress Testing (LST), liquidity forecasting, stress scenario design, and balance sheet management.
• Leading the evolution and interpretation of LST methodologies, modeling assumptions, forecasting approaches, and scenario analyses covering sources and uses of funds, contingent liquidity risks, and balance sheet behavior under stress.
• Identifying opportunities to enhance LST analytics, methodologies, governance, assumptions, and management reporting in line with regulatory expectations and Corporate Treasury guidance.
• Translating BNY’s liquidity risk and funding priorities into clear team objectives, execution priorities, and actionable management insights.
• Monitoring compliance with internal and regulatory liquidity risk metrics, stress-testing limits, and governance requirements across assigned legal entities and/or regions, escalating material issues and emerging risks as appropriate.
• Conducting quantitative and qualitative analysis, data gathering, calculations, and forecasting related to the firm’s liquidity risk.
• Overseeing core LST frameworks, analytical tools, and reporting capabilities to ensure outputs are fit for purpose, clearly understood, and effectively used in Treasury and risk decision-making.
• Partnering with stakeholders across departments to facilitate timely Liquidity Management Actions and broaden organizational knowledge.
• Simplifying processes, strengthening governance, and improving the efficiency and scalability of the LST operating model.
• Taking accountability for team results, including analytical quality, timely execution, strong governance, and clear ownership across LST and liquidity risk management activities.
• Applying market developments, new learnings, and evolving industry practices to strengthen liquidity stress testing, contingency funding analysis, and liquidity risk management.
• Building strong partnerships across Treasury, Finance, Risk, Data, Technology, and business organizations, with team success as the priority.
• Promoting responsible AI adoption to enhance team performance, analytical insight, and decision support while maintaining strong controls and clear accountability.
• Applying a product mindset to solutions, reporting, and analytical capabilities to improve usability, outcomes, and adoption.
• Collaborating with the modeling team to design and develop Python models, forecasts, and reports that support the firm’s liquidity management framework.
• Influencing senior leadership through clear ideas, insights, and recommendations that enable timely, informed decisions.
• Applying business judgment to reduce complexity and bureaucracy and improve execution, governance, and outcomes across Treasury liquidity risk management.
• Developing and coaching talent through ongoing feedback, mentorship, and growth opportunities that strengthen team capability and strategic thinking.
• Developing findings and recommendations for senior stakeholders across Treasury, Risk, and Finance, translating complex model outputs into clear narratives that support decision-making.

• At least 15 years of experience, along with an MBA in Finance from a premier institute or a master’s degree in mathematics, statistics, engineering, economics, or another quantitative field.
• Significant experience in liquidity risk management, liquidity stress testing, funding risk, and/or balance sheet risk management within large, complex financial organizations preferred.
• Experience with Quantitative Risk Management (QRM) and Power BI preferred.
• Experience with SQL, Python, and relational database structures required.
• Experience with AI tools such as Copilot, Claude, and ChatGPT required.
• Strong knowledge of regulatory expectations, governance standards, and industry practices related to liquidity risk management and stress testing.
• Proven ability to communicate complex analytical topics clearly to senior management and cross-functional stakeholders.
• Demonstrated strength in client focus, strategic leadership, talent development, stakeholder influence, business judgment, and collaboration within a complex matrixed environment.