Senior Risk Manager - AI Risk & Governance

Edward Jones

1d • Hybrid

About The Position

This role supports the execution of Edward Jones’ Enterprise Risk Management framework to identify, assess, treat, mitigate, monitor, report, and escalate AI risks—including generative and agentic AI risks—and other risks arising from Firm Strategy Division activities, including EJ Ventures, EJ Labs, and Pricing. The position is known internally as Senior Risk and Control Associate.

The role supports risk-based governance throughout the AI lifecycle, from intake and classification through assessment, approval support, implementation readiness, inventory management, material-change review, ongoing monitoring, and retirement or reclassification. It also assesses emerging AI capabilities and helps develop governance, control, monitoring, and escalation approaches as technologies and risks evolve.

The position provides practical AI risk and governance guidance, education, and reusable materials to business, product, technology, and risk partners. Candidates living within a commutable distance of the Tempe, Arizona, or St. Louis, Missouri, home offices are expected to work in the office four days per week.

Requirements

• Bachelor’s degree required.
• At least 6 years of risk management experience required.
• Experience in financial services.
• Experience with Microsoft Office and GRC tools.
• Experience building relationships and networks at varying levels in an organization.
• Strong written and verbal communication skills, including the ability to tailor communication to the audience.

Nice To Haves

• Bachelor’s degree in Computer Science, Finance, Risk Management, or Data Science.
• Advanced degree or industry designation.
• Previous experience with investment advisory or wealth management.
• Experience conducting risk assessments or evaluating control environments for technology, data, digital, model, or AI-enabled initiatives.
• Experience preparing governance or decision materials for leadership and risk forums.
• Working knowledge of AI concepts, including generative AI, agentic AI, AI models, AI platforms, and third-party AI.
• Familiarity with AI and machine-learning concepts, testing and evaluation approaches, explainability, human oversight, data considerations, and model or system monitoring.
• Experience with financial industry regulations, including SEC, FINRA, Basel III, GDPR, and the AI Act.
• Knowledge of enterprise risk management frameworks in financial services.
• Familiarity with AI risk-management frameworks, regulatory developments, and industry guidance such as NIST AI RMF and applicable ISO standards.
• Ability to translate AI risks into financial and regulatory impact assessments.

Responsibilities

• Carry out risk and control activities under the Enterprise Risk Management Program and divisional requirements.
• Understand and advise the team on divisional processes, historical risk results, firm policies, programs, and Enterprise Risk Management frameworks and standards.
• Support risk-based governance across the AI lifecycle, including intake, classification, assessment, approval support, implementation readiness, inventory management, material-change review, ongoing monitoring, and retirement or reclassification.
• Assess emerging AI capabilities, including generative and agentic AI, and help develop suitable governance, control, monitoring, and escalation approaches.
• Support issue and incident management, control testing, critical business process mapping and inventorying, and risk assessments for new projects and initiatives.
• Assist Business Owners in aligning policies, standards, and procedures with Enterprise Risk Management policies and standards.
• Support business risk owners in evaluating remediation strategies and control enhancements.
• Execute procedural requirements for open high risks, including root cause analysis, action plan development, evidence collection, and remediation documentation; support and challenge business risk owners on action plan effectiveness.
• Review emerging risk concerns, provide early warning on key risks to divisional leadership, and develop, inventory, and report on divisional KRIs.
• Use a GRC tool to document risk issues and assessment data.
• Assist leadership with reporting and analysis for risk forums.
• Serve as an AI risk and governance resource to business, product, technology, and risk partners by providing practical guidance, education, and reusable materials.
• Assist in developing risk training and education for business partners and help divisional associates understand the Enterprise Risk Management Program.
• Maintain knowledge of AI technologies, emerging risks, regulatory and industry developments, and evolving risk-management practices, and apply relevant developments to the team’s governance approach.

Benefits

• Medical and prescription drug coverage
• Dental insurance
• Vision insurance
• Voluntary benefits, such as accident, hospital indemnity, and critical illness coverage
• Short- and long-term disability coverage provided at no cost
• Basic life and basic AD&D coverage provided at no cost
• 401(k) retirement plan
• Health savings account
• Flexible spending account
• Ten paid holidays
• 15 days of vacation for new associates beginning January 1 of each year
• Sick time and personal days
• Paid day for volunteerism
• Potential eligibility for bonuses and profit sharing
• Employee Assistance Program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior