We’re seeking a future team member for the role of Senior Specialist to join our Treasury Risk team. This role is located in New York City In this role, you’ll make an impact in the following ways: • Providing independent oversight of liquidity risk management through review and challenge informed by technical analysis, subject matter expertise, and robust consideration of risk appetite. • Engaging with partners in Corporate Treasury, Finance, Businesses, and other Risk teams to identify solutions that support BNY’s Client and Enterprise Platforms. • Supporting senior management to develop and maintain liquidity risk frameworks, including risk identification and assessment, design and calibration of limits, and effective governance. • Creating new tools and enhanced processes that leverage AI, automation, and technology resources to improve the team’s ability to measure and monitor risks across the organization. • Delivering presentations to senior leadership to highlight risk analysis and validation of significant changes in risk metrics that support strategic liquidity risk initiatives. To be successful in this role, we’re seeking the following: • Bachelor’s degree in math, statistics, finance, economics, or a related discipline, or an equivalent combination of education and experience. Master’s degree preferred. • Professional experience, with background in liquidity risk or other related financial risk departments within banking or financial services. • Familiarity with liquidity and treasury risk management activities including funding, cash flow projections, deposit modeling, liquidity metrics, and stress testing. • Experience building and maintaining risk frameworks and processes, collaborating with business and corporate function partners, and supporting other staff to ensure accurate, timely implementation and consistent practices. • Strong communication and interpersonal skills. Ability to produce professional presentation decks using MS PowerPoint. • Demonstrated ability to perform technical analysis, use data-driven approaches, and employ available tools and applications. Experience working with SQL, Python, or other languages is a plus, as is experience with data visualization software (e.g., PowerBI, Tableau).