Senior Data Scientist

About the role

The Compliance Senior Data Scientist will assist the Anti-Money Laundering Compliance program with various tasks including model development, optimization, validation, and governance.

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.
• Research, compile, and evaluate large sets of data.
• Architect and lead the design of advanced AML models utilizing machine learning and statistical modeling methods.
• Document modeling methodology, data sources, assumptions, and validation results.
• Lead governance and quality control across the full AML model lifecycle.
• Develop governance documentation related to tuning efforts, parameter changes, and data validation.
• Track and report results of tuning and optimization activities and model performance.
• Develop robust management information dashboards.
• Partner with and advise the AML Governance Unit.

Requirements

• Bachelor’s Degree or Master’s Degree in Statistics, Computer Science, Mathematics, Finance, Computer Science, Engineering or other relevant areas.
• 3+ 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 and ability to leverage traditional databases, cloud-based computing, and distributed computing.
• Track record of leading AML governance-related initiatives.

Qualifications

• Demonstrated ability to communicate effectively with all levels of the organization and across different business lines.

Skills

• Knowledge of AML regulations and the USA PATRIOT Act.
• Familiarity with regulatory guidance on Model Risk Management.
• Experience with data visualization.
• Experience with data monitoring systems.
• Experience with cloud data infrastructure.
• Experience with automated transaction monitoring.
• Experience with customer/transaction screening.
• Experience with infrastructure automation software.
• Familiarity with virtualization and containerization.
• Familiarity with container orchestration.
• CAMS certification preferred.

Benefits

To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!