The Cervantes Group · 1 month ago
QA Engineer, AML
The Cervantes Group is seeking a QA Engineer specializing in Anti-Money Laundering (AML) to contribute to model testing and validation initiatives. The role involves designing testing plans, performing quantitative evaluations, and ensuring compliance with risk management policies and AML regulations.
Information Technology
Responsibilities
Design and execute end-to-end model testing plans covering data integrity, model design, performance, and outcomes
Perform quantitative testing to evaluate model accuracy, sensitivity, and stability against defined KPIs and thresholds in addition to developing and running SAS-based testing scripts for data sampling, parameter verification, threshold testing, and scenario simulation
Document testing results with detailed evidence and ensure adherence to internal model validation standards and partner with Model owners, Model developers, and Model Validators to understand model logic, data sources, and business context
Communicate testing results, issues, and remediation recommendations clearly to senior stakeholders and governance committees
Participate in Agile ceremonies (stand-ups, sprint planning, retrospectives) to align testing priorities with development cycles
Contribute to the enhancement or redevelopment of AML models when required, leveraging SAS or Python for prototyping and statistical analysis
Support implementation testing, threshold calibration, and tuning exercises
Provide analytical insight into false positives, segmentation shifts, and model drift analysis
Ensure testing activities comply with enterprise model risk management policies and AML regulatory expectations while assisting in audit and regulatory reviews by providing testing evidence, documentation, and technical explanations
Maintain version-controlled documentation of test scripts, datasets, and test results
Qualification
Required
Bachelor's Degree is required
6+ years' experience in AML model testing, validation, or development within financial services
Hands on Jira experience withing QA/QC roles
Strong hands-on programming experience in SAS (Base SAS, SAS SQL, Macros)
Working knowledge of Python
Must have experience with AML models (Transaction Monitoring, Customer Segmentation, Risk Scoring)
Proven ability to perform quantitative testing, interpret results, and prepare comprehensive documentation
Experience working in Agile project environments with cross-functional teams
Strong written and verbal communication skills to present complex technical findings to non-technical audiences
Preferred
Working knowledge of SQL is a plus
Benefits
401(k)
Health insurance
Paid time off