Assist in the design, development, 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
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

2-4 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 required
2-4 years of experience in consumer loan or lease portfolio analysis, modeling and/or forecasting preferred
High School Diploma or equivalent required
Bachelor’s Degree in Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field; degrees in non-quantitative fields considered with adequate work experience required
Master’s Degree in Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field preferred

Risk Statistician II

Key skills