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About the Role
The Senior Data Scientist – AML plays a critical role developing and supporting Netspend’s Compliance Department, with a specific focus on AML Compliance. You will be the senior lead, as a team of 1, to develop hybrid, effective, and efficient AML monitoring approaches. This role requires a deep expertise in master's level statistics, an ability to explain the advanced statistics to traditional business and compliance personnel, data programming (SQL and Python preferred), clear plain English writing skills, presentation skills, and the ability to prioritize amongst competing high priorities. This roll will assist with all aspects of Consumer and AML Compliance similar to that of a federally regulated bank, including Anti Money Laundering (“AML”), Customer Identification Program (“CIP”), Consumer Compliance Testing (“CT”), and Distributor Due Diligence (“DDD”).
Responsibilities
- Build and utilize statistical feedback loops to periodically tune, calibrate, and optimize AML monitoring rules.
- Build and utilize typologies and AML analyst input to build targeted rules intended for a higher percentage of locating “bad” scenarios.
- Perform and update the Annual AML Risk Assessment based on a calendar year of transactional and account level data.
- Build explainable statistical models with a goal of increasing AML effectiveness.
- Build effective statistical models using advanced concepts with a focus on effectiveness.
- 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 for Monthly, Quarterly, and Annual Oversight Reporting.
- Partner with different aspects of Compliance, Fraud, and other business departments to translate business, compliance, and regulatory requirements into actionable data driven solutions.
- Translate quantitative findings into actionable strategic recommendations for senior leadership and non-math AML Compliance professionals.
Requirements
- Graduate Degree, Masters or Ph.D., in Statistics, Math, Engineering, Data Science, Computer Science, or high quantitative discipline.
- 6 years of senior level experience in data science, quantitative analysis, or statistical modeling.
- Professional coding skills, particularly in SQL and Python/R.
- Masters level statistical regression analysis techniques.
- Ability to translate between business/compliance personnel and data personnel.
- Ability to educate non-math/data personnel on Math and Data concepts.
- Presentation skills to personnel of various backgrounds.
- Ability to work independently and present potential usable end results to Compliance leadership, while being prepared to return for multiple iterative improvements.
- Ability to list and prioritize known objectives and workstreams, especially completing smaller one-off tasks, while keeping the bigger, higher overarching goal projects moving timely.
Skills
- SQL
- Python
- R
- Tableau
- Qlik
- Statistical regression analysis
- Data programming
- Plain English writing
- Presentation skills
- Prioritization
Location
- Austin, Texas
Work Type
- Full-time
Experience Level
- Senior level
Education Level
- Master's Degree
- Ph.D.
About the Company
- Netspend Corporation is a global, vertically-integrated financial services and technology company dedicated to the delivery of innovative financial empowerment solutions to consumers worldwide.
- Netspend's financial products and services span prepaid, debit, cross-border payments, and loyalty solutions for consumers and enterprise partners.
- Netspend provides prepaid and debit account solutions that connect customers with secure, convenient access to global payment networks so they can manage their money and make everyday purchases.
- With a nationwide U.S. retail network, customers can purchase and reload Netspend products at 130,000 reload points and over 100,000 distributing locations.
- Since our founding in 1999 by industry pioneers, Netspend products have processed billions of dollars in transaction volume and served millions of customers worldwide.
- The company is headquartered in Austin, Texas with employees worldwide.