Hiring: Senior Data Scientist - AML Company: Netspend Location: Austin, Texas Metropolitan Area Job Posted Time: 2026-09-12 11:06:01 Employment Type: Hybrid Target Skills & Keywords : DDD, Python, Risk Management, SQL, Segment, Stakeholder Management About the job Experience: •6 years of senior level experience in data science, quantitative analysis, or statistical modeling. Required Skills: •Build and utilize statistical feedback loops to periodically tune, calibrate, and optimize AML monitoring rules. This is the traditional dollar threshold-based rules referenced above. •Build and utilize typologies and AML analyst input to build targeted rules intended for a higher percentage of locating “bad” scenarios. These are the targeted rules referenced above. •Perform and update the Annual AML Risk Assessment based on a calendar year of transactional and account level data (~1 million accounts, ~300+ million transactions). •Much of this work is updating existing tables and charts, quality checking the information, updating the word document to ensure the paragraph descriptive statements are correct and publishing this to the Policy Review Committee and Board of Directors for approval. •Build effective statistical models using advanced concepts with a focus on effectiveness. This will stand on the foundation of the explainable concepts before it. The focus will be higher likelihood of risky accounts to target for review and due diligence. These are the highly efficient models from above. •Be the primary (and sole) person to build professional, master’s level, documentation, to support internal governance, promote understandability, and surpass Model Validation and regulatory benchmarks. •Build and maintain automated reporting dashboards (using tools like Tableau, Qlik, Pyton, or R) for Monthly, Quarterly, and Annual Oversight Reporting. You will own the data logic and automation maintenance supporting the reporting and the AML Risk Assessment. •Leadership & Stakeholder Management Qualifications: •Graduate Degree, Masters or Ph.D., in Statistics, Math, Engineering, Data Science, Computer Science, or high quantitative discipline. •Master's or Ph.D. in Statistics, Math, or Engineering •6 years of experience in Risk Management Quantitative Field •Applied hands-on capability in graphical reporting tools (for example, Tableau, Qlik, Power BI) •Practical experience with Model Governance and Validation, particularly AML Model Validation and AML Regulatory Exams •Prior experience leading or mentoring teams or individuals. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!