Lead Operational and AI Risk Manager
New
J
JobgetherFinancial services
Fully remote within the United StatesFull-TimeLead
Salary97,100 - 145,500 USD per year
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Job Details
- Experience
- At least 7 years of relevant experience
- Required Skills
- PythonSQLData analytics
Requirements
- Bachelor’s degree in business, finance, economics, mathematics, statistics, data analytics, information systems, risk management, or a related field.
- 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.
- Strong understanding of operational risk and business controls.
- Ability to locate, interpret, analyze, and communicate data, translating complex findings into practical insights and recommendations.
- Experience evaluating business processes, controls, risk management programs, fraud activities, models, statistical analyses, or performance monitoring.
- Familiarity with regulatory examinations, internal audits, remediation programs, or other regulatory and risk-focused initiatives is preferred.
- Comfort using AI tools, including large language models and AI-assisted research or analytical tools.
- Familiarity with LLM evaluation techniques such as benchmark testing, output consistency assessment, adversarial prompting, and bias analysis is preferred.
- Experience with SQL, Python, Power BI, Tableau, or similar data analysis, visualization, reporting, or governance tools is beneficial.
- Ability to manage competing priorities and deliver high-quality work on time.
Responsibilities
- Analyze data from multiple sources to identify trends, anomalies, emerging risks, and areas requiring management attention.
- Develop reports, dashboards, metrics, and presentations for risk leaders and senior stakeholders.
- Assess business processes, operational activities, policies, controls, and monitoring practices to determine whether risks are appropriately managed.
- Lead cross-functional initiatives involving Risk, Technology, Compliance, Audit, and business teams.
- Provide independent oversight of models and analytical tools, evaluating design, inputs, outputs, performance, limitations, monitoring, and documentation.
- Lead independent validation of an AI- and LLM-enabled regulatory model using model governance and validation methodologies.
- Apply benchmark testing, output consistency checks, adversarial prompting, and bias assessment to evaluate LLM reliability and suitability.
- Prepare validation and risk documentation covering methodologies, findings, limitations, conclusions, and recommended actions.
- Assess emerging AI technologies and associated risks, and contribute to governance considerations and implementation guidance.
- Analyze fraud prevention, detection, monitoring, and response practices, identifying trends, gaps, and opportunities to strengthen program effectiveness.
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