The role involves designing robust transaction monitoring technologies to identify suspicious money laundering behavior in alignment with Bank Secrecy Act requirements
Job Summary
The role involves designing robust transaction monitoring technologies to identify suspicious money laundering behavior in alignment with Bank Secrecy Act requirements.
Candidates will modify end-to-end data pipelines using Python and PySpark on Cloudera Data Science Workbench while integrating enterprise schedulers like Control-M.
This position offers a salary range of $120,000.00 - $129,500.00 per year and is eligible for the Employee Referral Incentive Program.
Matching Summary
The role involves designing robust transaction monitoring technologies to identify suspicious money laundering behavior in alignment with Bank Secrecy Act requirements.
Salary
Base: $120,000.00 - $129,500.00/year; Bonus/Equity: Not specified; Benefits: Eligible for Employee Referral Incentive Program
Skills & Requirements
Must-have
Python and PySpark development
Cloudera Data Science Workbench (CDSW)
Control-M job scheduler integration
BSA/AML regulatory compliance
Statistical analysis techniques
Power BI and Tableau visualization
Nice-to-have
Collaborative work environment
Strategic dashboard creation
Model validation experience
Back-testing methodologies
Behavioral segmentation skills
Key Requirements
Master's degree in Data Analytics or related field
One year of experience with Interim Compensating Control framework
Experience leading support for internal audits and regulatory examinations