Risk Analytics Manager

Netspend•Austin, TX

About The Position

Netspend Corporation is a global financial services and technology company providing prepaid, debit, cross-border payment, and loyalty solutions to consumers and enterprise partners. The company is headquartered in Austin, Texas, and has employees worldwide. The Risk Data Analytics team is seeking a hands-on manager to lead analytics work involving visualizations, monitoring, KPI tracking, data analysis, risk strategy opportunities, documentation, and process automation across Risk and Operations. The role reports directly to the VP of Risk Data Science and Analytics. The manager will lead a team while spending approximately 20% of their time contributing as an individual contributor to core analytical projects.

Requirements

  • High proficiency in SQL for data analysis.
  • Experience managing direct reports.
  • Ability to lead hands-on and coach and develop junior analysts in SQL querying, rigorous data analysis, presentation skills, and communication of complex findings.
  • Ability to clearly communicate with technical and non-technical audiences.
  • Ability to collaborate regularly with team members and contribute to a helpful, high-impact team culture.
  • At least 5 years of experience in data analysis or related roles; Fintech or payments experience is preferred.

Nice To Haves

  • Experience building data visualizations and dashboards; Qlik is preferred, or Tableau, Looker, Power BI, or similar tools.
  • Strong analytical skills working with large datasets to identify patterns, trends, and anomalies in time-series data.
  • A BS or advanced degree in a STEM or related field.
  • Familiarity with card payments or the banking and finance industry, including transactional payment data analysis and card association risk and dispute processes or procedures; highly preferred but not mandatory.

Responsibilities

  • Lead, mentor, and manage a team of Risk Analysts, fostering a high-performance, collaborative, and innovative team culture.
  • Spend approximately 20% of time on individual-contributor work, contributing to core analytical projects and maintaining hands-on technical proficiency.
  • Define, prioritize, and oversee the Risk Analytics roadmap in alignment with Risk Department and company objectives.
  • Set department-wide standards for terminology, metrics, data visualization, reporting, and automation to ensure accuracy, consistency, and timely delivery.
  • Conduct performance reviews, provide constructive feedback, and support team members’ professional development.
  • Serve as the primary stakeholder contact for Risk Analytics deliverables and translate analytical findings into actionable recommendations for executive leadership and cross-functional teams.
  • Analyze transaction and customer data to identify emerging fraud and credit risk trends and propose control strategies.
  • Collaborate with Risk Data Science, Risk, and Operations coworkers.
  • Build and optimize queries and determine appropriate data sources and analytical approaches.
  • Help determine, scope, and create data products and data governance related to the Risk Data Science team.
  • Handle strategic and ad-hoc requests and projects, conducting independent research to propose rules and strategies to mitigate risk across products.
  • Stay informed about industry trends, best practices, and regulatory requirements related to risk management and fraud prevention.
  • Build visualizations and monitoring, track KPIs, identify opportunities to reduce losses and customer friction, document data concepts, and automate internal Risk and Operations processes.
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