Risk Analyst - Portfolio Analytics

JOB DESCRIPTION

Why Risk Management - Portfolio Analytics at GM Financial?

The Risk Management - Portfolio Analytics team at GM Financial is primarily responsible for analyzing and forecasting credit performance for the Global Consumer and Commercial portfolios. Team members develop and maintain analytical tools and forecast models to support various departments throughout the company, and the Executive Team. This group has high visibility with many other teams and senior leaders. Accuracy, attention to detail, working with complex data sets, and the ability to communicate results clearly are crucial in this team.

If you have an inquisitive mindset and enjoy finding meaningful insights in data, this may be the right role for you!

• Utilize data exploration and advanced spreadsheet/technical skills to monitor portfolio performance and report results to senior management
• Summarize findings, develop recommendations and present analyses to management in a clear, concise, convincing, and actionable format
• Employ best practices of data analysis and validation to ensure data results are accurate
• 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
• Conduct ad hoc research projects incorporating project design, data collection and analysis, summarization of findings, and presentation of results
• Work directly with internal customers (management) to create/adjust reports to effectively communicate portfolio performance

• 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
• 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
• Understanding of the metrics utilized in monitoring the performance of a consumer lending portfolio is a plus

• Hybrid work environment requiring 2 days per week in the office
• 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 Pref
• High School Diploma
• Bachelor's Degree 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 Finance, Economics, Mathematics, Business, Business Analytics, MIS, or other quantitative field preferred