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LeadFull-timePythonKubernetesDockerTerraformMachine LearningML
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Compliance Staff Data Scientist to join our team. This role focuses on assisting the Anti-Money Laundering Compliance program with model development, optimization, validation, and management information reporting to effectively fight financial crime.
Key Responsibilities
- →Facilitate AML model development, implementation, optimization, assessment, and validation of risk-based customer screening, transaction screening, transaction monitoring, and AML customer risk rating.
- →Maintain, test, and configure AML vendor solutions to ensure proper implementation and acceptable model performance.
- →Research, compile, and evaluate large sets of data to assess quality, integrity, and completeness for AML model development.
- →Architect and lead the design of advanced AML models utilizing machine learning and statistical modeling methods.
- →Ensure AML compliance and regulatory requirements are embedded in the model design.
- →Document modeling methodology, data sources, assumptions, and validation results.
- →Lead governance and quality control across the full AML model lifecycle.
- →Develop robust management information dashboards displaying real-time or near real-time AML metrics.
- →Partner with the AML Governance Unit by providing necessary data for AML Risk Assessments and regulatory requirements.
Requirements
- ✓Bachelor’s Degree or Master’s Degree in Statistics, Computer Science, Mathematics, Finance, or other relevant areas.
- ✓6+ years of experience in the finance industry focusing on BSA/AML, OFAC, or fraud modeling/analytics.
- ✓Statistical/data analytical skills, including data quality validation, and predictive modeling experience in SQL and Python.
- ✓Knowledge of traditional databases, cloud-based computing, and distributed computing.
- ✓Track record of leading AML governance-related initiatives, such as risk assessments and regulatory requirements.
- ✓Demonstrated ability to communicate effectively with all levels of the organization and across different business lines.
