Sr. Machine Learning Engineer

About the Company:

Ouro is a global, vertically-integrated financial services and technology company dedicated to the delivery of innovative financial empowerment solutions to consumers worldwide. Ouro’s financial products and services span prepaid, debit, cross-border payments, and loyalty solutions for consumers and enterprise partners.

Ouro's flagship product 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 Ouro's founding in 1999 by industry pioneers Roy and Bertrand Sosa, Ouro products have processed billions of dollars in transaction volume and served millions of customers worldwide. The company is headquartered in Austin, Texas with regional offices around the world. Learn more at www.ouro.com.

DUTIES:

• Analyze transaction and customer data to develop fraud and other risk control strategies needed to deliver on portfolio performance goals.

• Prepare analytics and reports for ongoing monitoring of risk strategy performance. Prepare clear and concise reports and presentations summarizing findings, insights, and recommendations.

• Partner with the Risk Decision Engine and Product/Engineering teams to implement changes in risk strategies/rules: provide clear requirements and test cases, execute user testing, review and sign-off on SDET test results, execute post-release validation in the production environment.

• Partner with and provide requirements to the Strategic Platform team that will develop Risk models and tools that require use of the ML/AI platforms or other new platform features.

• Engage on both strategic ad-hoc requests and projects, conducting independent research to propose rules and strategies to help mitigate risks across all products.

• Be the SME on the risk function that you own. Represent Risk Strategy in cross-functional teams to implement risk mitigation strategies for new products or feature enhancements.

• Proactively stay updated on industry trends, best practices, and regulatory requirements related to risk management and fraud prevention.

• Use SQL, Python, R, Snowflake for data analysis.

• Build reports in BI platforms such as QliQ, like Power BI, Tableau.

REQUIREMENTS:

• Bachelor’s degree in Statistics, or a related field plus two (2) years of relevant experience.

• Telecommuting permitted from anywhere in the U.S. Relocation may be required. Domestic travel up to 5% may be required.