As a Portfolio Risk Vice President within the Portfolio Management team, you will help deliver analytics and insights that inform strategy and critical business decisions for the ~$100B Commercial Term Lending (CTL) portfolio. In this role, you will partner closely with cross-functional teams, leverage data from multiple sources, and translate findings into clear, actionable recommendations. Your leadership will support long-term data models and facilitate holistic, cross-functional learning, ensuring high data quality and governance. You will also support portfolio risk management through monitoring, reporting, and contribution to the credit forecasting process, including ongoing review of data, assumptions, and drivers to strengthen the overall framework.

Job responsibilities

• Lead the design and execution of data solutions to source and combine data as needed from multiple platforms to enable CTL analytics and reporting.
• Develop a strong understanding of CTL portfolio data and identify opportunities to improve data quality, efficiency, and insight generation. Champion data and analytics best practices within the CTL Portfolio Management team, including process improvements, automation, and efficiencies across workflows and models.
• Monitor portfolio and market trends, track key risk metrics, and communicate findings based on risk alerts and emerging trends.
• Build scalable analytics and self-service reporting solutions; design, enhance, and maintain dashboards and reports to deliver portfolio and market insights.
• Support and enhance the credit forecasting process by partnering with Finance, Risk, and business stakeholders to update the credit outlook, review assumptions, and key drivers.
• Partner with Controls and Compliance to ensure analytical tools, reporting, and related processes align with firmwide policies and standards.
• Contribute to special projects and ad hoc analyses as needed.

Required qualifications, capabilities, and skills 

• Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Engineering, Computer Science, or related).
• 7+ years of experience across analytics platforms, languages, and tools such as Snowflake, AWS, Databricks, Alteryx, SQL, Tableau, Python, ThoughtSpot, or similar.
• Strong hands-on SQL proficiency across relational and cloud-native database systems; experience working with large-scale datasets.
• Experience in dynamic and interactive reporting tools to create insightful dashboards and reporting assets. 
• Strong analytical and problem-solving skills, including root-cause analysis and ability to develop practical solutions from complex data.
• Strong judgment and communication skills, with the ability to synthesize complex topics into clear narratives and stakeholder-ready materials.
• Demonstrated leadership mindset (initiative, inclusivity, ownership) and ability to prioritize and deliver in a fast-paced environment.
• Proven ability to collaborate effectively across teams and lines of business within large organizations.
• Advanced proficiency in Microsoft Excel and PowerPoint.
• Financial services experience, particularly in data and analytics 
• Master’s degree in a quantitative field

Preferred qualifications, capabilities, and skills 

• Financial services experience, particularly in data and analytics 
• Master’s degree in a quantitative field