Jobs at Green Dot Corporation

Leads operational risk assessments, data analysis, management reporting, fraud program reviews, regulatory initiatives, and AI model validation. Evaluates controls, analytical tools, and LLM reliability using benchmark testing, consistency checks, adversarial prompting, and bias assessment. Partners with risk, technology, compliance, audit, and business teams to resolve issues, support responsible AI adoption, and deliver recommendations for regulatory and executive audiences.

Provides second-line oversight of technology and operational risks, validates controls, challenges risk assessments, analyzes risk data, and develops reporting and key risk indicators. The role also advances responsible AI adoption by creating AI-enabled workflows, automating risk processes, assessing emerging AI risks, and supporting risk assessment models. It requires independent judgment, stakeholder influence, and experience in regulated financial services.

Analyzes transaction-monitoring data, investigates suspicious and potentially fraudulent activity, determines enhanced due diligence needs, and supports BSA/AML/OFAC compliance. Responsibilities include filing SARs and CTRs, improving monitoring controls and reporting, managing compliance processes and SLAs, overseeing partner relationships, identifying financial-crime trends, documenting investigations, and training team members.

Lead strategy, execution, and lifecycle management for Green Dot’s money movement payments platform. Define product roadmaps, requirements, metrics, and technical solutions for B2B and B2C products. Partner with engineering and stakeholders on APIs, microservices, payment rails, compliance, risk controls, scalability, and defect resolution. Drive ACH, instant payments, RTP, FedNow, and related payment capabilities while managing budgets, governance, and revenue growth.

Lead design and delivery of a cloud-native BaaS payments platform. Architect scalable distributed systems, define API contracts, drive CI/CD and TDD practices, mentor engineers, reduce technical debt, and partner with product teams.