DB USA Core Corporation is hiring an Associate in New York to strengthen its BSA/AML capabilities by designing and supporting advanced transaction monitoring technologies. This role involves developing robust controls to detect suspicious financial activities and ensuring accurate data-driven alert generation for regulatory compliance. The candidate will work on modifying Python and PySpark-based data pipelines using Cloudera Data Science Workbench, integrating enterprise job schedulers like Control-M, and optimizing U.S. Transaction Monitoring systems in line with BSA/AML requirements. Key responsibilities include applying statistical techniques such as IQR analysis and weighted averages to calibrate monitoring thresholds, implementing model validation through back-testing, and creating strategy dashboards using Microsoft Power BI and Tableau for comprehensive customer insights.
Skills
Python
PySpark
Cloudera Data Science Workbench (CDSW)
Control-M
CyberArk
Bitbucket
Power BI
Tableau
Matplotlib
IQR analysis
weighted average calculations
standard deviation thresholds
historical transaction profiling
What you'll do
Design and support robust transaction monitoring technologies to identify suspicious money laundering behavior.
Develop and maintain the Interim Compensating Control (ICC) framework in alignment with FRB mandates.
Modify end-to-end data pipelines using Python and PySpark on Cloudera Data Science Workbench.
Execute full lifecycle tuning of US Transaction Monitoring systems aligned with BSA/AML requirements.
Implement model validation through back-testing, behavioral segmentation, and statistical analysis using Python.
Test and support deployment readiness for monitoring pipelines using CyberArk, Control-M, and Bitbucket.
Establish strategy dashboards in Microsoft Power BI, Tableau, and Matplotlib to compile customer insights.
What we're looking for
Master’s degree in Data Analytics or related field required
1 year of experience developing and maintaining Interim Compensating Control (ICC) framework
Experience leading support for internal audits and regulatory examinations by major bodies
Expertise in modifying data pipelines using Python, PySpark, and Cloudera Data Science Workbench
Ability to execute full lifecycle tuning and optimization of US Transaction Monitoring systems
Proficiency in statistical techniques including IQR analysis, weighted averages, and standard deviation thresholds
Experience implementing end-to-end model validation through back-testing and behavioral segmentation
Market check
Salary context
This
$120,000–$129,500
range sits above
20%
of similar postings on FindRole.
Peer median band
$115,000–$180,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$130,187–$175,500
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Deutsche Bank
Deutsche Bank is a German multinational investment bank and financial services company offering corporate banking, investment banking, retail banking, asset management, and transaction banking worldwide. Industry: Investment Banking & Financial Services
Deutsche Bank currently has
37 open roles
on FindRole.
Listed pay typically runs
$120,000–$153,000
across 37 roles with salary data.
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