Remote Lead—AI & Operational Risk

Green Dot Corporation; Northern (KY); Hybrid; USD 97,000 - 146,000; Full time

Job summary

Green Dot Corporation is seeking a Lead Operational Risk Manager to support risk governance, data-driven oversight, and AI-adjacent model validation across the risk function. The role emphasizes independent leadership, cross-functional partnership, and practical risk mitigations in a dynamic payments environment.

You will drive data analysis, develop management reports, and guide regulators in demonstrating control effectiveness while promoting responsible AI usage within risk oversight.

Qualifications

• Bachelor's degree required or equivalent in business, finance, economics, or related field.
• 7+ years of relevant risk management, fraud, model oversight, or data analytics experience.
• Experience in regulated financial services environments preferred.

Responsibilities

• Lead analytical and risk oversight initiatives across risk, technology, compliance, and audit.
• Validate models and analytical tools used for business decisions and monitor performance.
• Oversee AI model validation, governance, and responsible AI practices.
• Develop dashboards, reports, and clear documentation for executives and regulators.
• Collaborate with cross-functional teams to remediate risk issues and track commitments.

Skills

Risk management

Fraud analysis

Data analytics

Model oversight

AI tools usage

Problem-solving

Communication skills

Remote collaboration

Education

Bachelor's degree in business/finance/economics

Tools

SQL

Python

Power BI

Tableau

Job description

Green Dot Corporation is seeking a Lead Operational Risk Manager to support risk governance, data-driven oversight, and AI-adjacent model validation across the risk function. The role emphasizes independent leadership, cross-functional partnership, and practical risk mitigations in a dynamic payments environment.

You will drive data analysis, develop management reports, and guide regulators in demonstrating control effectiveness while promoting responsible AI usage within risk oversight.