Senior Risk Analyst - Credit Risk Review

Location: For Those Who Work At Home, Ohio The Senior Risk Analyst serves as a key contributor within the Credit Risk Review (CRR) organization, supporting the team's independent review and challenge responsibilities through advanced reporting, analytics, automation, and process improvement initiatives. This role is responsible for designing, developing, and enhancing data-driven solutions that strengthen CRR's ability to identify emerging risks, monitor portfolio trends, support continuous monitoring activities, and provide independent insights to senior management and governance committees. The position partners closely with CRR review teams, risk partners, and data stakeholders to build scalable reporting frameworks, improve analytical capabilities, and enhance operational efficiency. The successful candidate will combine strong technical expertise with risk management acumen to support CRR's strategic direction and evolving risk intelligence capabilities. Key Responsibilities Reporting & Analytics · Design, develop, and maintain independent reporting and analytics that support CRR's review and challenge activities. · Produce meaningful 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 that support continuous monitoring, risk assessments, review planning, and executive reporting. · Perform data analysis to identify themes, concentrations, outliers, and trends that warrant independent review or challenge. · Support the development of risk indicators, monitoring metrics, and analytical methodologies that strengthen CRR's independent perspective. Process Enhancement & Automation · Lead initiatives to automate and streamline reporting, monitoring, and operational processes across the CRR organization. · Develop scalable solutions that improve data quality, reporting accuracy, efficiency, and consistency. · Identify opportunities to leverage technology, automation tools, and advanced analytics to enhance CRR effectiveness and coverage. · Partner with stakeholders to improve data sourcing, integration, governance, and reporting infrastructure. · Support the continuous evolution of CRR's operating model through process optimization and technology-enabled solutions. Independent Risk Oversight Support · Support CRR's independent assessment of credit risk through robust data analysis and objective reporting. · Assist in the development of portfolio monitoring frameworks that provide early identification of emerging credit risks and changing risk profiles. · Deliver independent analyses that support review planning, thematic reviews, and ongoing challenge activities. · Prepare analytical materials and reporting for senior management, governance committees, and other stakeholders. · Contribute to the development of independent risk perspectives through evidence-based analysis and risk aggregation activities. Strategic & Organizational Support · Support CRR's strategic priorities related to risk intelligence, independent reporting, continuous monitoring, and analytical capability development. · Collaborate with review teams to understand business and portfolio risks and translate those needs into scalable analytical solutions. · Stay current on industry trends, regulatory expectations, and emerging analytical techniques relevant to credit risk review and second-line oversight. · Assist in establishing best practices for reporting, data analytics, and risk intelligence across the CRR organization. Required Qualifications · Bachelor's degree in Finance, Economics, Risk Management, Data Analytics, Information Systems, Statistics, or a related discipline. · 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. Experience: Demonstrated hands-on experience independently developing and supporting data, analytical, and automation solutions, including the technical capabilities outlined below. • Database Access & Relational Data Structures: Demonstrated hands-on experience independently accessing databases and working with relational data structures, schemas, keys, joins, and data models. • Advanced SQL: Advanced SQL proficiency, including writing, optimizing, and troubleshooting complex queries to extract, join, aggregate, and validate large datasets. • Data Lineage & Source-System Mapping: Ability to trace data from source systems through downstream transformations and outputs, document lineage, and map critical data elements and system flows. • Loan-System / Credit Data Fluency: Working knowledge of borrower, facility, exposure, collateral, risk-rating, performance, and portfolio data. Direct experience with loan systems and financial services credit datasets is strongly preferred. • ETL / Data Transformation: Hands-on experience extracting, transforming, standardizing, and integrating data from multiple sources using repeatable ETL or data-preparation processes. • Data Quality & Reconciliation: Demonstrated ability to reconcile large datasets, identify completeness and accuracy issues, investigate variances, and implement sustainable data-quality controls. • Python / Automation: Proficiency in Python or a comparable scripting language, with experience automating data preparation, testing, reconciliation, analysis, and recurring reporting workflows. • Technical Solution Design: Ability to independently translate business and risk needs into scalable, maintainable technical solutions, with clear documentation, controls, and support procedures. • AI / GenAI Technical Enablement: Experience enabling AI or GenAI use cases through data preparation, workflow i