Risk Analyst - Portfolio Analytics

Responsibilities

• Conduct analysis and develop reporting to monitor portfolio performance.
• Leverage analysis and reporting to evaluate and communicate credit performance trends to senior and executive management.
• Summarize findings, develop recommendations, and present analyses to management in a clear, concise, convincing, and actionable format.
• Promote innovative ways to visualize and digest complex data.
• Create and maintain organized, efficient, and repeatable processes for monitoring portfolio performance.
• Proactively monitor and report relevant changes in portfolio performance to management.
• Work directly with internal customers (management) to create/adjust reports to effectively communicate portfolio performance.

Qualifications

• Demonstrated understanding of data exploration, analysis and visualization, quantitative and analytical methods, and sophisticated reporting techniques.
• Advanced with Microsoft Excel, PowerPoint, and Word.
• Experience with data analysis and spreadsheet modeling and/or reporting.
• Experience with coding (SAS or SQL preferred) for data exploration and transformation in a data warehouse environment.
• Experience with data visualization software such as Power BI, Tableau, SAS Visual Analytics or Cognos Analytics is preferred.
• Demonstrated quantitative skills.
• Acute attention to detail.
• Effective written and verbal presentation skills.
• Capable of managing multiple projects, including ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure, meeting deadlines.
• Ability to identify and understand business issues and map them into quantitative questions.
• Demonstrated understanding of the metrics utilized in monitoring the performance of a consumer lending portfolio is a plus.

Additional Knowledge And Skills

• Working effectively within an AI enabled environment: Ability to use AI tools (e.g., Microsoft Copilot) to support daily work.
• Skills in evaluating AI outputs for accuracy, compliance, and bias.
• Experience integrating AI into workflows to improve efficiency or insights.
• Familiarity with AI assisted research, summarization, and content generation.
• Understanding of responsible AI use, including ethics and data protection.

Work Experience & Education

• 0-2 years experience working with complex Excel workbooks, querying large multi-table datasets, data analysis, and data presentation; experience in consumer loan or lease portfolio analysis, reporting and/or forecasting preferred.
• High School Diploma.
• Associate Degree.
• Bachelor’s Degree in Finance, Economics, Mathematics, Business, Business Analytics, MIS, or other quantitative field; degrees in non-quantitative fields considered with adequate work experience required.
• Master’s Degree in Finance, Economics, Mathematics, Business, Business Analytics, MIS, or other quantitative field preferred.

What We Offer

• Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.

Culture

Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.

Compensation

Competitive pay and bonus eligibility.

Work Life Balance

Flexible hybrid work environment, 2-days a week in office.