Deutsche Bank is seeking an Associate in New York, NY to enhance their Bank-Secrecy-Act and Anti Money-Laundering capabilities. The role involves designing and supporting transaction monitoring technologies and controls to identify suspicious money laundering behavior and ensure effective alert generation for suspicious activity reporting.
Enhance Deutsche Bank’s Bank-Secrecy-Act and Anti Money-Laundering (BSA/AML) capabilities by designing and supporting robust transaction monitoring technologies and controls to identify suspicious money laundering behavior and ensure data-driven alert generation for suspicious activity reporting
Developing and maintaining the Interim Compensating Control (ICC) framework in alignment with Federal Reserve Board (FRB) mandates
Leading support for internal audits and regulatory examinations conducted by major United States and international regulatory bodies
Modifying end-to-end data pipelines developed in Python and PySpark using Cloudera Data Science Workbench (CDSW)
Integrating enterprise job schedulers including Control-M to automate monthly batch-processing workflows
Executing full lifecycle tuning and optimization of United States Transaction Monitoring systems in alignment with Bank Secrecy Act and Anti-Money Laundering regulatory requirements
Applying statistical techniques including Interquartile Range (IQR) analysis, weighted average calculations, standard deviation thresholds, and historical transaction profiling to calibrate monitoring thresholds, reduce false positives, and enhance detection of potentially suspicious financial activity
Implementing end-to-end model validation through back-testing, behavioral segmentation, and statistical analysis using Python and PySpark
Testing pipelines on Cloudera Data Science Workbench (CDSW) and supporting deployment readiness using CyberArk for secure access, Control-M for workflow orchestration, and Bitbucket for codebase management and version control
Establishing strategy dashboards and visualizations in Microsoft Power BI, Tableau, and Matplotlib to compile multiple strategies and customer insights
Qualification
Required
Master's degree in Data Analytics or a related field or equivalent
one (1) year of experience developing and maintaining the Interim Compensating Control (ICC) framework in alignment with Federal Reserve Board (FRB) mandates
leading support for internal audits and regulatory examinations conducted by major United States and international regulatory bodies
modifying end-to-end data pipelines developed in Python and PySpark using Cloudera Data Science Workbench (CDSW)
integrating enterprise job schedulers including Control-M to automate monthly batch-processing workflows
executing full lifecycle tuning and optimization of United States Transaction Monitoring systems in alignment with Bank Secrecy Act and Anti-Money Laundering regulatory requirements
applying statistical techniques including Interquartile Range (IQR) analysis, weighted average calculations, standard deviation thresholds, and historical transaction profiling to calibrate monitoring thresholds, reduce false positives, and enhance detection of potentially suspicious financial activity
implementing end-to-end model validation through back-testing, behavioral segmentation, and statistical analysis using Python and PySpark
testing pipelines on Cloudera Data Science Workbench (CDSW) and supporting deployment readiness using CyberArk for secure access, Control-M for workflow orchestration, and Bitbucket for codebase management and version control
establishing strategy dashboards and visualizations in Microsoft Power BI, Tableau, and Matplotlib to compile multiple strategies and customer insights
Preferred
Benefit
This position is eligible for Deutsche Bank's Employee Referral Incentive Program.
Deutsche Bank is an investment bank that offers financial products and services to corporate and institutional clients.
