Lead Operational and AI Risk Manager

This role combines operational risk management, data analytics, model oversight, and responsible AI within a non-financial risk environment. You will lead complex analytical and risk oversight initiatives that support regulatory priorities and strategic business objectives. The position works closely with Risk, Technology, Compliance, Audit, and business stakeholders to identify risks and develop practical solutions. You will independently navigate ambiguous problems, translate complex information into actionable recommendations, and influence stakeholders without direct authority. A key focus is the independent validation of AI and LLM-enabled models, including structured evaluation and responsible AI practices. The role is fully remote within the United States and offers broad exposure to evolving risk, fraud, analytics, and AI priorities.

• Bachelor’s degree in business, finance, economics, mathematics, statistics, data analytics, information systems, risk management, or a related field, with at least 7 years of relevant experience in risk management, fraud, model oversight, data analytics, or a related discipline.
• Professional experience within banking, fintech, payments, or another regulated financial services environment, with a strong understanding of operational risk and business controls.
• Demonstrated ability to locate, interpret, analyze, and communicate data, translating complex findings into practical business insights and recommendations.
• Experience evaluating business processes, controls, risk management programs, fraud activities, models, statistical analyses, or performance monitoring is highly valuable.
• Experience supporting regulatory examinations, internal audits, remediation programs, or other regulatory and risk-focused initiatives is preferred.
• Strong problem-solving skills, intellectual curiosity, adaptability, ownership, and the ability to independently navigate ambiguous or complex assignments.
• Excellent written and verbal communication skills, including the ability to explain technical, analytical, and risk-related concepts clearly to non-technical audiences.
• Strong stakeholder management skills and the ability to collaborate across organizational boundaries and influence outcomes without direct authority, particularly within a remote environment.
• Comfortable using AI tools as part of everyday work, including large language models and AI-assisted research or analytical tools, with a demonstrated interest in applying AI to improve risk oversight.
• Familiarity with LLM evaluation techniques such as benchmark testing, output consistency assessment, adversarial prompting, and bias analysis is preferred, particularly in a model validation or oversight setting.
• Experience with SQL, Python, Power BI, Tableau, or similar data analysis, visualization, reporting, or governance tools is beneficial.
• Ability to manage competing priorities while maintaining high-quality, timely deliverables and strong follow-through.
• Must be legally authorized to work in the United States without current or future visa sponsorship and able to meet the role’s U.S. location requirement.