Candidate would perform objective reviews and effective challenge of the conceptual soundness, methodology and implementation of models across businesses. On annual review of models, candidate would evaluate enhancement/remediation effort by model developers and assess model performance to be adequate for continue use.
- Candidate must have 4-6 years of predictive modeling experience and possess deep understanding of advanced statistical modeling concepts (ex: GLM, survival analysis, time series).
- Candidate should also have practical experience developing sophisticated statistical or econometric models using SAS or R. Experience with other programming languages, such as Matlab, C++, and VBA is a plus.
- Advanced degree in statistics, mathematics, economics, or equivalent is required.
- Must have excellent written and verbal communication skills, including proven ability to write clear concise reports, and explanation of technical concepts to technical and non-technical audiences, and be self-motivated to manage, coordinate and facilitate multiple initiatives in a fast paced, dynamic environment.