Modelling & Data Science Executive

Job Description:

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.

*This position is exempt from timekeeping requirements under the Fair Labor Standards act and is not eligible for overtime pay.

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.

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