Risk Analyst - Portfolio Forecasting

GM Financial • Fort Worth, TX

2d • Hybrid

About The Position

Why Risk Management – Portfolio Forecasting at GM Financial? The Risk Management – Portfolio portfolio 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!  About the role  Assist in the design, development, and maintenance of sophisticated portfolio forecasting models Utilize data mining and advanced spreadsheet/technical skills to participate in complex forecasting, modeling, analysis, and reporting related to factors that affect portfolio performance Employ best practices of data analysis and validation to ensure data results are accurate Promote innovative ways to visualize and digest complex data Proactively monitor and report relevant changes in portfolio performance to management Effectively summarize and communicate portfolio performance trends, expectations, forecast methodology and results to management What makes you a dream candidate?  Demonstrated understanding of data mining, data analysis and visualization, quantitative and analytical methods, and sophisticated forecasting 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 mining and transformation in a data warehouse environment 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 Understanding of the metrics utilized in monitoring the performance of a consumer lending portfolio is a plus Understanding of consumer lending portfolio performance metrics is a plus

Requirements

• Demonstrated understanding of data mining, data analysis and visualization, quantitative and analytical methods, and sophisticated forecasting 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 mining and transformation in a data warehouse environment
• 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
• 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
• 0 -2 years experience working with complex Excel workbooks, querying large multi-table datasets, data analysis, and data presentation; the qualified candidate will also be able to demonstrate proficiency with the following tools: SAS and/or SQL, Microsoft Excel, PowerPoint, and Word

Nice To Haves

• Understanding of the metrics utilized in monitoring the performance of a consumer lending portfolio is a plus
• Understanding of consumer lending portfolio performance metrics is a plus
• Master’s Degree Finance, Economics, Mathematics, Business, Business Analytics, MIS, or other quantitative field preferred

Responsibilities

• Assist in the design, development, and maintenance of sophisticated portfolio forecasting models
• Utilize data mining and advanced spreadsheet/technical skills to participate in complex forecasting, modeling, analysis, and reporting related to factors that affect portfolio performance
• Employ best practices of data analysis and validation to ensure data results are accurate
• Promote innovative ways to visualize and digest complex data
• Proactively monitor and report relevant changes in portfolio performance to management
• Effectively summarize and communicate portfolio performance trends, expectations, forecast methodology and results to management

Benefits

• 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.
• Competitive pay and bonus eligibility
• Flexible hybrid work environment, 2-days a week in office

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees