Senior Risk Analyst - Credit Risk Review

KeyBank • For Those Who Work At Home, OH

1d • Remote

About The Position

The Senior Risk Analyst is a key contributor within the Credit Risk Review (CRR) organization, supporting independent review and challenge through advanced reporting, analytics, automation, and process improvement. The role designs and enhances data-driven solutions to identify emerging risks, monitor portfolio trends, support continuous monitoring, and provide independent insights to senior management and governance committees. It partners with CRR review teams, risk partners, and data stakeholders to build scalable reporting frameworks, improve analytical capabilities, and increase operational efficiency.

The analyst develops and maintains independent reporting, portfolio monitoring, dashboards, scorecards, analytical tools, risk indicators, and management reporting. The position also leads automation and process-enhancement initiatives, improves data quality and reporting infrastructure, and supports independent credit-risk assessments and monitoring frameworks. It prepares analyses for review planning, thematic reviews, ongoing challenge activities, and senior-level governance, while contributing to CRR’s strategic priorities and best practices in risk intelligence and analytics.

Requirements

• Bachelor’s degree in Finance, Economics, Risk Management, Data Analytics, Information Systems, Statistics, or a related discipline.
• At least 5 years of experience in Risk Management, Credit Risk, Credit Risk Review, Data Analytics, Business Intelligence, Audit, or related financial-services functions.
• Demonstrated experience building, enhancing, and automating management reporting dashboards and analytical solutions using large datasets.
• Hands-on experience independently accessing databases and working with relational data structures, schemas, keys, joins, and data models.
• Advanced SQL proficiency, including writing, optimizing, and troubleshooting complex queries to extract, join, aggregate, and validate large datasets.
• Ability to trace data from source systems through downstream transformations and outputs, document lineage, and map critical data elements and system flows.
• Working knowledge of borrower, facility, exposure, collateral, risk-rating, performance, and portfolio data.
• Hands-on experience extracting, transforming, standardizing, and integrating data from multiple sources using repeatable ETL or data-preparation processes.
• Ability to reconcile large datasets, identify completeness and accuracy issues, investigate variances, and implement sustainable data-quality controls.
• Proficiency in Python or a comparable scripting language, with experience automating data preparation, testing, reconciliation, analysis, and recurring reporting workflows.
• Ability to independently translate business and risk needs into scalable, maintainable technical solutions with clear documentation, controls, and support procedures.
• Experience enabling AI or GenAI use cases through data preparation, workflow integration, testing prompts and AI-enabled workflows, output validation, and appropriate human oversight.
• Ability to monitor, support, and troubleshoot production analytical and automation solutions, perform root-cause analysis, resolve data or process failures, and coordinate sustainable remediation.
• Strong analytical, problem-solving, and critical-thinking skills.
• Experience supporting risk management, risk oversight, audit, review, or independent challenge functions.
• Ability to synthesize complex information into clear, actionable insights for multiple audiences.

Nice To Haves

• Direct experience with loan systems and financial-services credit datasets.
• Experience within Credit Risk Review, Credit Risk Management, Commercial Banking, Leveraged Lending, Commercial Real Estate, Consumer Credit, or other banking risk disciplines.
• Direct experience supporting second-line risk management or independent review functions within banking.
• Proficiency with Power BI, Tableau, Alteryx, SAS, Snowflake, or comparable analytical and automation platforms.
• Knowledge of credit-risk metrics, portfolio monitoring, risk-rating systems, concentration analysis, and risk reporting.
• Familiarity with regulatory guidance applicable to Credit Risk Review and independent risk oversight.
• Experience with risk intelligence, continuous monitoring, and emerging-risk identification frameworks.

Responsibilities

• Design, develop, and maintain independent reporting and analytics for CRR review and challenge activities.
• Produce risk intelligence, portfolio monitoring, trend analysis, and management reporting that provide actionable insights into credit-risk exposures and emerging risks.
• Develop dashboards, scorecards, and analytical tools for continuous monitoring, risk assessments, review planning, and executive reporting.
• Analyze data to identify themes, concentrations, outliers, and trends that may warrant independent review or challenge.
• Support the development of risk indicators, monitoring metrics, and analytical methodologies that strengthen CRR’s independent perspective.
• Lead initiatives to automate and streamline reporting, monitoring, and operational processes across CRR.
• Develop scalable solutions that improve data quality, reporting accuracy, efficiency, and consistency.
• Identify opportunities to use technology, automation, and advanced analytics to enhance CRR effectiveness and coverage.
• Partner with stakeholders to improve data sourcing, integration, governance, and reporting infrastructure.
• Support CRR’s operating-model evolution through process optimization and technology-enabled solutions.
• Support independent assessments of credit risk through robust data analysis and objective reporting.
• Assist in developing portfolio monitoring frameworks for early identification of emerging credit risks and changing risk profiles.
• Deliver independent analyses for review planning, thematic reviews, and ongoing challenge activities.
• Prepare analytical materials and reporting for senior management, governance committees, and other stakeholders.
• Contribute evidence-based analyses and risk aggregation to the development of independent risk perspectives.
• Support CRR strategic priorities involving risk intelligence, independent reporting, continuous monitoring, and analytical capability development.
• Collaborate with review teams to understand business and portfolio risks and translate needs into scalable analytical solutions.
• Stay current on industry trends, regulatory expectations, and analytical techniques relevant to credit risk review and second-line oversight.
• Assist in establishing best practices for reporting, data analytics, and risk intelligence across CRR.
• Independently develop and support data, analytical, and automation solutions, including monitoring and troubleshooting production solutions, performing root-cause analysis, and coordinating remediation.

Benefits

• Eligible for incentive compensation, which may include production, commission, and/or discretionary incentives.
• Eligible for company benefits; specific benefits are not listed in the posting.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior