Risk Statistician

nt, and maintenance of sophisticated statistical forecasting models and analytical tools

• 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 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

• Assist in ad-hoc research projects incorporating project design, data collection and analysis

• Monitoring and validating model performance and updating models as needed

• Gathering and analyzing data to determine impact to business operations

RESPONSIBILITIES

What makes you an ideal candidate?

• Advanced knowledge of applied statistical methodologies

• Knowledge of quantitative, analytical and data mining

• Knowledge of SAS, Excel, Word and PowerPoint

• Knowledge of spreadsheet modeling and credit risk techniques

• Ability to coordinate and balance numerous tasks under pressure and meet deadlines

• Ability to identify and understand business issues and map these issues into quantitative questions

• Ability to identify emerging business issues and place them into quantitative questions

• Ability to interact collaboratively with internal customers and external vendors

• Process and model documentation skills

• Advanced quantitative skills and ability to apply complex econometric principles

• Advanced quantitative skills and ability to apply complex statistical principles

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

QUALIFICATIONS

Experience & Education:

• 0-2 years of 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 preferred

• 0-2 years experience in consumer loan or lease portfolio analysis, modeling and/or forecasting preferred

• 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.