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Ouro

Risk Analytics Manager

Ouro, Austin, Texas, us, 78716

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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. Its flagship product Netspend provides prepaid and debit account solutions connecting customers with secure, convenient access to global payment networks. Ouro was founded in 1999 and has processed billions of dollars in transaction volume, serving millions of customers worldwide. The company is headquartered in Austin, Texas, with regional offices around the world. Learn more at www.ouro.com.

About the Role The Risk Data Analytics team is looking for a manager to lead building visualizations and monitoring, tracking KPIs, working on data analysis to find opportunities to reduce losses and friction on our products, delivering more value by identifying risk strategy opportunities, writing documentation on data concepts, and automating internal processes within risk and ops teams. This hands‑on role reports to the VP of Risk Data Science and Analytics.

Responsibilities

Lead, mentor, and manage a team of Risk Analysts, fostering high-performance, collaborative, and innovative culture; dedicate ~20% time to individual contributor work, actively contributing to core analytical projects and maintaining technical proficiency.

Define, prioritize, and oversee the Risk Analytics roadmap, ensuring alignment with overall Risk Department and company objectives.

Set standards for terms, metrics, data visualization, reporting, and automation across the risk department, ensuring accuracy, consistency, and timely delivery.

Conduct performance reviews, provide constructive feedback, and support professional development of team members.

Serve as primary point of contact for stakeholders on Risk Analytics deliverables, translating complex findings into clear actionable business recommendations.

Drive strategic analysis of transaction and customer data to proactively identify emerging fraud and credit risk trends and propose innovative control strategies.

Collaborate closely with coworkers in the Risk Data Science, Risk, and Ops teams.

Build and optimize queries, determine best sources and approaches for data and insights.

Assist in scoping and creating data products and governance related to the Risk Data Science team.

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

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

Requirements

Hands‑on leader committed to coaching and developing junior analysts in advanced SQL querying, rigorous data analysis techniques, effective presentation skills, and clear communication of complex findings.

Experience building data visualizations and dashboards (Qlik preferred, or Tableau, Looker, Power BI, etc.).

High proficiency in SQL for data analysis.

Strong analytical skills, working with large datasets to identify patterns, trends, and anomalies in time series data.

BS or advanced degree in STEM or related field.

5+ years of experience in data analysis or related roles, preferably in the Fintech or Payments industry.

Experience managing and mentoring analytics teams.

Familiarity with card payments or banking/finance industry, including knowledge of transactional payment data analysis, experience with card association Risk and Dispute processes is highly preferred but not mandatory.

Ability to communicate clearly with technical and non-technical audiences.

Team player and collaborator, enhancing culture of helpfulness and high impact.

Seniority Level Mid‑Senior level

Employment Type Full‑time

Job Function Research, Analyst, and Information Technology

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