Quantitative Credit Data Analyst

Location:

127 Public Square, Cleveland Ohio

Credit Portfolio Management (CPM) is Credit Risk’s centralized analytics area, partnering with key stakeholders throughout the Bank to strengthen Credit decision-making, portfolio risk management, and strategic planning. This role is responsible for leading quantitative analysis and portfolio research efforts, developing insights from internal and external data, and communicating actionable recommendations to senior leaders regarding emerging risks, portfolio performance, industry trends, and credit migration dynamics.

• Lead quantitative analysis of portfolio performance, risk concentrations, emerging risks, and credit migration trends across Key's commercial credit portfolios.
• Develop insights and recommendations through analysis of internal and external data sources, including portfolio performance data, economic indicators, industry trends, and peer benchmarking.
• Lead efforts to advance CPM's analytical capabilities through continuous improvement initiatives, including the annual recalibration of portfolio tolerances, limits, and related monitoring frameworks.
• Partner with Treasury, Finance, Credit Risk, and Line of Business stakeholders to support portfolio management, strategic planning, and risk management objectives.
• Proactively identify opportunities to improve analytical processes, reporting capabilities, data quality, automation, and overall efficiency.
• Develop and maintain analytical reporting, dashboards, and monitoring tools that support portfolio management, risk oversight, and executive decision-making.
• Present analytical findings, portfolio assessments, and risk insights to business partners and senior leadership in a clear and actionable manner.

• Perform additional duties or project work as assigned.

• Bachelor's degree in Mathematics, Statistics, Data Science, Engineering, Finance, Economics, Computer Science, Data and Business Analytics or other quantitative fields of study or relevant experience.
• 3+ years of experience in credit risk, portfolio management, quantitative analytics, banking, financial services, or a related discipline.
• Strong analytical and problem-solving skills with the ability to synthesize large and complex datasets, quantify business impacts, and develop actionable insights supporting strategic, risk management, and portfolio management decisions.
• Experience utilizing SQL and/or analytical programming languages (Python, SAS, R, or equivalent) to query, analyze, and transform data.
• Experience developing data visualizations, dashboards, and analytical reporting using Tableau, Power BI, or similar tools.
• Strong written and verbal communication skills with the ability to present analytical findings and recommendations to business partners and senior leadership.
• Demonstrated attention to detail, intellectual curiosity, and the ability to manage multiple priorities while maintaining high standards of accuracy.
• Advanced proficiency with Microsoft Excel and PowerPoint.
• Knowledge of database concepts, data extraction techniques, process automation, and quantitative analytical methods.
• Support the development of analysts and less experienced team members through collaboration, coaching, and knowledge sharing.

• Experience in commercial banking, credit risk management, portfolio analytics, risk reporting, or financial services.
• Experience utilizing cloud-based analytical platforms, data warehouses, and modern data pipeline architectures.
• Experience supporting portfolio risk monitoring, concentration management, risk governance, or executive-level reporting.
• Knowledge of credit migration analysis, portfolio performance measurement, peer benchmarking, early warning indicators, industry risk assessment methodologies, or quantitative modeling techniques.

• Communication:
  Ability to communicate complex analytical concepts and portfolio insights clearly and effectively to both technical and non-technical audiences.
• Partnering / Influencing:
  Builds strong relationships across Credit Risk, Treasury, Finance, and Line of…