Senior AML Data Scientist — Explainable Risk Modeling

Netspend; Austin (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

Netspend in Austin, TX, is seeking a Senior Data Scientist – AML to lead compliance analytics, develop Rule/Model-based AML monitoring, and produce clear documentation for regulatory exams.

Requires a graduate degree in a highly quantitative field and 6+ years in data science or statistical modeling, with strong SQL/Python or R skills and the ability to explain complex concepts to non-technical stakeholders.

Qualifications

• Graduate degree in a highly quantitative field.
• 6 years of senior level experience in data science, quantitative analysis, or statistical modeling.
• Professional coding skills with SQL and Python/R; regression analysis techniques.

Responsibilities

• Build and tune AML rules and analytics to improve detection.
• Perform annual AML risk assessment with large datasets.
• Develop explainable statistical models for risk segmentation and efficiency.
• Build and maintain automated reporting dashboards for oversight.
• Lead governance, document models, and communicate results to leadership.
• Collaborate across Compliance, Fraud, and business units to translate requirements into data-driven solutions.

Skills

SQL

Python/R

Statistical reasoning

Education

Master's or Ph.D. in Statistics/Math/Engineering/Data Science/CS

Tools

Tableau

Qlik

Power BI

Job description

Netspend in Austin, TX, is seeking a Senior Data Scientist – AML to lead compliance analytics, develop Rule/Model-based AML monitoring, and produce clear documentation for regulatory exams.

Requires a graduate degree in a highly quantitative field and 6+ years in data science or statistical modeling, with strong SQL/Python or R skills and the ability to explain complex concepts to non-technical stakeholders.