Scalence L.L.C. · 2 months ago
Remote Job - Anti-Money Laundering QC/QA Lead
Scalence L.L.C. is seeking an Anti-Money Laundering QC/QA Lead to oversee model testing and validation within the financial services sector. The role involves designing testing plans, collaborating with stakeholders, and ensuring compliance with regulatory standards.
Information Technology & Services
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
Develop and run 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
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
Assist 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
Knowledge of Anti-Money Laundering: 7+ years
Total Experience (Years): 8-10
6-10 years of experience in AML model testing, validation, or development within financial services
Testing experience (QC and QA)
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
Develop and run 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
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
Assist in audit and regulatory reviews by providing testing evidence, documentation, and technical explanations
Maintain version-controlled documentation of test scripts, datasets, and test results
Company
Scalence L.L.C.
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience.
Funding
Current Stage
Late StageCompany data provided by crunchbase