Senior Vice President, Treasury Manager

We’re seeking a Senior Vice President, Treasury and ALM to join our Corporate Treasury team in Pittsburgh.
In this role, you’ll make an impact by:
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.
To be successful in this role, we’re seeking:
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.