Senior analyst with good ML model experience for the Regions Bank account
Primary Responsibilities for a Risk Data Scientist on the BSA/AML/OFAC Model Development and Monitoring Team:
- Design and develop transaction monitoring scenarios.
- Improves segmentation for the scenarios/models using techniques such as clustering.
- Executes periodic tuning for the threshold parameters of the scenarios through sample collection.
- Develops post processing models to reduce the number of false positives generated by the scenarios using techniques such as rare event logistic regression and machine learning algorithms.
- Researches and develops algorithms that incorporates fuzzy logic for OFAC sanction screening and other types of screening processes.
- Develops post processing models that incorporate Natural Language Processing techniques to reduce the number of false positives.
- Implementation of models.
- Develops and executes ongoing monitoring plan to monitor the performance of the models.
- Documentation of the model development, especially the implementation process.
- Supports model validation activities.
- Ad hoc analysis to address requests from business partners.
Requirements
- Bachelor s degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND six (6) years related experience.
- Master s degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND four (4) years related experience.
- OR PhD degree in Statistics, Operations Research, Industrial Engineering, Mathematics, or Physics, AND two (2) years related experience.
Skills and Competencies
- High proficiency with Python, R, SAS, and SQL.
- Advanced data sourcing and management skills.
- Enhanced experience with web scraping.
- Knowledge and experience with CDSW platform.
- Experience with software development, especially deployment.
- Experience with classification models.
