Looking for candidates with 2+ yrs of experience in modeling (Financial services specific experience strongly preferred).
Total experience 5+Yrs.
Develop predictive models, statistical analyses, optimization procedures, monitoring processes, data quality analyses, and score implementations supporting credit risk, impairment and collections.
Validate, track, and monitor delivered projects.
Produce robust documentation to ensure replicability of results.
Good knowledge of Logistic and linear regression
University degree in quantitative discipline required (ex. Statistics, Operations Research, Economics, Computer Science, Engineering).
Proficiency with analytical software (e.g.,SAS), SQL tools (e.g., Oracle), Unix platforms, and MS Office required.
Strong analytical, technical and/or statistical skills with ability to process large datasets into meaningful information.