Senior Risk & AI Analyst - Remote

Green Dot Corporation; United States; On-site; USD 101,000 - 152,000; Full time

Benefits offered by this job

Remote work

Job summary

Green Dot Corporation in the United States is seeking a Sr. Risk and AI Analyst to provide second-line oversight across technology and operational risk, with role flexibility across domains and an emphasis on advancing AI capabilities within risk.

The position involves evaluating controls, building AI-enabled workflows, and communicating complex risk concepts to stakeholders, with a background in modeling or quantitative analysis considered a plus.

Qualifications

• Bachelor's degree in Engineering, Mathematics, Statistics, Data Analytics, Information Systems, Risk Management, or a related field.
• 3+ years of relevant experience in risk management, financial services operations, auditing, compliance, or a related discipline.
• Experience in banking, fintech, payments, or another regulated financial services environment.
• Demonstrated ability to locate, analyze, and interpret data and translate findings into practical business insights.
• Demonstrated experience evaluating risk and control environments and developing recommendations to address complex business issues.
• Strong problem‑solving skills and ability to work independently through ambiguous or complex assignments.
• Experience communicating complex risk, technology, or regulatory concepts to both technical and non‑technical audiences.
• Comfortable using AI tools (e.g., large language models, AI‑assisted research or writing tools) as part of everyday work.
• Experience building relationships and influencing stakeholders across multiple levels of the organization.
• Ability to independently manage multiple priorities and deliver results in ambiguous environments.

Responsibilities

• Provide second-line oversight across technology and operational risk domains, rotating across areas as organizational needs shift.
• Independently assess the design and operating effectiveness of first‑line controls and identify opportunities to strengthen risk mitigation strategies.
• Validate that documented controls are functioning as intended by reviewing supporting evidence and assessing gaps.
• Review‑and‑challenge activities related to risk assessments, control self‑assessments (RCSAs), and remediation plans, providing credible challenges to ensure risks are appropriately identified, assessed, and managed.
• Identify control weaknesses and translate findings into clear, actionable recommendations for management.
• Analyze complex risk and control issues, determine root causes, and recommend effective solutions that improve business processes and reduce organizational risk.
• Advise risk team on risk management practices, control design, and emerging technology‑related risks.
• Analyze data from multiple sources to identify emerging risks, trends, control gaps, and opportunities for proactive mitigation.
• Develop and enhance risk reporting, dashboards, and key risk indicators that provide meaningful insights and support risk‑based decision making by management.
• Strengthen the use of objective evidence and measurable outcomes when assessing risk and the effectiveness of business safeguards.
• Partner with business and technology teams to understand data needs, confirm data quality, and improve access to actionable information.
• Actively use AI tools in day‑to‑day risk work — including analysis, drafting, summarization, and research.
• Design, implement, and continuously improve AI‑enabled solutions and automated workflows that increase efficiency, strengthen risk monitoring capabilities, and improve analytical effectiveness.
• Assess emerging AI technologies and associated risks, providing recommendations regarding practical applications, governance considerations, and operational implementation.
• Develop risk AI solutions by implementing risk assessment models, automating data pipelines, and integrating analytics.
• Help establish practical, scalable approaches to AI‑assisted risk oversight as the function matures.

Skills

Risk management

Data analysis

Communication

Independent work

AI tools usage

Stakeholder management

Prioritization

Ambiguity handling

Education

Bachelor's degree in Engineering, Mathematics, Statistics, Data Analytics, Information Systems, Risk Management, or related field

Tools

SQL

Python

Power BI

Tableau

Job description

Green Dot Corporation in the United States is seeking a Sr. Risk and AI Analyst to provide second-line oversight across technology and operational risk, with role flexibility across domains and an emphasis on advancing AI capabilities within risk.

The position involves evaluating controls, building AI-enabled workflows, and communicating complex risk concepts to stakeholders, with a background in modeling or quantitative analysis considered a plus.