DB USA Core Corporation
Financial Services
Associate–BZ9279787
“Associate – BZ9279787 at DB USA Core Corporation. Skills: Python, PySpark, transaction monitoring, statistical techniques, model validation, data pipelines, regulatory compliance. enhance Deutsche Bank’s Bank-Secrecy-Act and Anti Money-Laundering (BSA/AML) capabilities. 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”
What You'll Achieve.
identify suspicious money laundering behavior; ensure data-driven alert generation for suspicious activity reporting; reduce false positives; enhance detection of potentially suspicious financial activity; compile multiple strategies and customer insights
Industry & Context.
reduce false positives; enhance detection of potentially suspicious financial activity
What They're Looking For.
Must Have
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, experience supporting internal audits and regulatory examinations, experience modifying end-to-end data pipelines developed in Python and PySpark, experience integrating enterprise job schedulers including Control-M to automate monthly batch-processing, experience executing full lifecycle tuning and optimization of United States Transaction Monitoring systems, experience applying statistical techniques including Interquartile Range (IQR) analysis, weighted average calculations, standard deviation thresholds, and historical transaction profiling, experience implementing end-to-end model validation through back-testing, behavioral segmentation, and statistical analysis using Python, experience testing pipelines on Cloudera Data Science Workbench (CDSW), experience supporting deployment readiness using CyberArk for secure access, Control-M for workflow orchestration, and Bitbucket for codebase management and version control, experience establishing strategy dashboards and visualizations
Nice to Have
experience with Cloudera Data Science Workbench (CDSW), experience with CyberArk for secure access, experience with Control-M for workflow orchestration, experience with Bitbucket for codebase management and version control
What You'll Do.
enhance Deutsche Bank’s Bank-Secrecy-Act and Anti Money-Laundering (BSA/AML) capabilities
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) leading support for internal audits and regulatory examinations
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
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
testing pipelines on Cloudera Data Science Workbench (CDSW)
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
and Matplotlib to compile multiple strategies and customer insights
How You'll Work.
Team & Collaboration
working collaboratively
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