#260215
til filled.
RESPONSIBILITIES
The Sr Risk Analyst - Portfolio Forecasting is responsible for assisting in the design, development, and maintenance of complex portfolio forecasting models. The models are used to support corporate planning, financing and account servicing operations. In addition, this position is responsible for analysis and reporting on factors that affect portfolio performance such as delinquency, loss frequency, loss severity, bankruptcies and payoffs.
In this role you will:
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
Provide direction, training, and guidance to less experienced analysts and lead projects or assignments as required
QUALIFICATIONS
What makes You an ideal candidate?
Demonstrated understanding of data mining, data analysis and visualization, quantitative and analytical methods, and sophisticated forecasting techniques
Expert 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
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
3-5 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 Required
3-5 years experience in consumer loan or lease portfolio analysis, reporting and/or forecasting Preferred
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
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.
Our 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.
NOTE: We are unable to consider candidates who require visa sponsorship for this position
This position is not open to agency submissions
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