Job Description
- 3+ years of statistical analysis and modeling experience using SAS
- Strong quantitative and statistical skills and worked extensively on the following statistical models and techniques (time series analysis, logistic/ linear regression, clustering, segmentation, Monte-Carlo simulation, Optimization techniques etc.).
- Develop an understanding of the customer’s data environment through data profiling and statistical analyses
- Responsible for handling the data cleaning, initial diagnostics, hypothesis testing, model building and iteration
- 2+ years of experience with MS SQL or any structural query language
- Experience with developing predictive models for banking arena using large data sets for high transactional volume environment will be useful
- Experience with evaluating and measuring the effectiveness of models
- Conceptual understanding of data profiling, fuzzy matching, entity resolution, and signal detection theory (specifically with respect to SD theory: designing and improving upon systems that monitor, minimize, and balance false positive and false negative outcomes).
- 2+ years of experience in quantitative roles in Financial Services industry must.
Experience in a Client-Facing Role
• Attend daily meetings with the project team and additional technical sessions as needed.
Serve as a technical and analytical resource in efforts to integrate SAS technology into the production system—either indirectly or directly.