A financial institution is seeking a Credit Risk Analyst to support its Enterprise Risk Management (ERM) team in evaluating and managing credit-related risks associated with depository institution members and non-members. This role involves conducting financial analyses, executing risk models, and developing reporting tools to support prudent lending and collateral decisions.
Key Responsibilities
Financial Analysis
- Perform credit and financial analysis of depository institutions using tools such as S&P Market Intelligence, regulatory filings, SEC reports, and confidential examination documents.
- Summarize findings in written credit reviews to support credit decisions and collateral requirements.
- Participate in meetings with institutions to discuss financial condition and incorporate insights into risk assessments.
Model Execution & Analysis
Execute and interpret credit risk models to inform underwriting and collateral decisions.Monitor model performance and provide recommendations for improvements.Financial Research & Reporting
Design and develop dashboards and reports to support ERM decision-making.Collaborate with IT and project teams or use end-user computing tools to optimize reporting processes.Ensure reporting aligns with internal and regulatory credit risk standards.Risk Assessment & Process Improvement
Assist in ongoing credit risk evaluations of depository institutions.Recommend updates to risk assessment frameworks and enhance related processes for efficiency and accuracy.Industry Monitoring & Special Projects
Stay current on banking industry trends through research, training, and professional development.Participate in internal committees and contribute to special projects related to member credit risk.Qualifications
Bachelor's degree in Finance, Accounting, Business Administration, or related field.Minimum of 3 years of experience in financial institutions, preferably in credit analysis, financial reporting, or risk management.Familiarity with regulatory call reports and depository institution operations.Strong analytical and communication skills.Proficiency in Microsoft Office; experience with Power BI, Python, or other data analysis tools is a plus.Must meet background requirements and be eligible to work full-time.