Risk Statistician II

e in complex forecasting, modeling, analysis, and reporting related to factors that affect portfolio performance

• Employ best practices of data analysis and model validation to ensure data results are accurate

• Promote innovative ways to visualize and digest complex data

• Effectively summarize and communicate analysis results, expectations, statistical methodology and results to management

• Conduct ad hoc research projects incorporating project design, data collection and analysis

• May provide direction, training, and guidance to less experienced statisticians 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, statistical principles, and sophisticated statistical modeling 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, and for statistical modeling and analysis

• Demonstrated quantitative skills and ability to apply complex statistical principles

• 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 question

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

Experience & Education:

• 2-4 years experience working with complex Excel workbooks, querying large multi-table datasets, data analysis, data presentation, and statistical analysis and modeling; the qualified candidate will also be able to demonstrate proficiency with the following tools: SAS and/or SQL, Microsoft Excel, PowerPoint, and Word Req

• 2-4 years experience in consumer loan or lease portfolio analysis, modeling and/or forecasting Pref

• Bachelor's Degree Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field; degrees in non-quantitative fields considered with adequate work experience Required

• Master's Degree Statistics, Applied Mathematics, Econometrics, Operations Research or similar 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 the office.

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