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Fifth Third Bank

Banking, loans, mortgages, and wealth management

AI Risk Management Senior Associate

Risk ManagementConfirmed live in the last 24 hours
Full-timeCincinnati, OH, USAIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent experience is required; a degree in Risk Management, Business, Information Systems, Computer Science, Data Science, Artificial Intelligence, Cybersecurity, or a related field is preferred, and a master's degree in a relevant field is preferred.
  • Five or more years of experience in financial services, risk management, business controls, compliance, technology risk, model risk management, information security, data governance, analytics, product management, or a related discipline is preferred.
  • Experience supporting AI, machine learning, Generative AI, intelligent automation, analytics, digital transformation, or emerging technology initiatives is preferred.
  • Working understanding of AI concepts, including large language models, Generative AI, Agentic AI, machine learning, automated decision-making, intelligent automation, and the AI lifecycle.
  • Knowledge of AI governance, responsible AI principles, model risk management practices, data governance, privacy, information security, third-party risk, and enterprise risk management.
  • Ability to identify and assess AI risks involving fairness, bias, explainability, transparency, data quality, privacy, security, intellectual property, performance, resilience, human oversight, customer impact, and regulatory compliance.
  • Strong analytical skills and the ability to interpret and apply policies, standards, laws, regulations, and regulatory guidance across a complex business environment.
  • Professional verbal and written communication skills, including the ability to explain complex AI and risk concepts to technical and non-technical audiences with appropriate discretion and confidentiality.
  • Demonstrated ability to build trusting relationships, facilitate cross-functional discussions, influence without direct authority, and provide effective challenge.
  • Ability to work independently with minimal supervision while escalating material risks, decisions, and dependencies appropriately.
  • Working knowledge of Microsoft Office products is required; familiarity with enterprise AI platforms, collaboration tools, analytics tools, and GRC systems is preferred.

Responsibilities

  • Assist Business Controls leadership with developing and implementing complex AI governance strategies, controls, policies, standards, and procedures that improve effectiveness and efficiency across the relevant business or functional area.
  • Provide expertise and analysis related to identifying, assessing, controlling, monitoring, testing, and reporting risks associated with AI, Generative AI, Agentic AI, machine learning, intelligent automation, and emerging technologies.
  • Support AI use case intake, classification, risk tiering, approval, inventory, and governance processes in accordance with enterprise requirements.
  • Evaluate AI-enabled solutions for risks involving fairness, bias, explainability, transparency, privacy, security, data quality, intellectual property, resilience, human oversight, customer impact, and regulatory compliance.
  • Conduct AI-focused RCSA facilitated sessions to evaluate and document applicable processes, risks, controls, and residual risk ratings.
  • Identify applicable governance requirements and support the design, implementation, documentation, and ongoing effectiveness of AI-related controls.
  • Coordinate updates to AI governance, risk, control, issue, indicator, and inventory records in designated systems of record, including applicable GRC and portfolio management tools.
  • Partner with business, technology, operations, and data teams to identify and prioritize AI use cases that improve internal processes, employee productivity, operational efficiency, decision-making, customer experience, and control effectiveness.
  • Provide practical risk advisory support throughout the AI lifecycle, from ideation and proof of concept through development, testing, deployment, ongoing monitoring, change management, and retirement.
  • Translate business needs into well-defined AI use case requirements, success measures, control expectations, and governance deliverables.
  • Support experimentation and proof-of-concept activities within approved environments and guardrails, helping teams evaluate feasibility, value, risk, and readiness for broader implementation.
  • Collaborate with business and technology stakeholders to design AI-assisted workflows, intelligent automation, and human-in-the-loop processes that balance innovation, operational effectiveness, and risk management requirements.
  • Evaluate emerging AI capabilities, tools, and platforms and communicate potential business applications, limitations, dependencies, and control considerations.
  • Promote reusable patterns, standards, and governance approaches that allow responsible AI use cases to scale across the organization.
  • Gather, integrate, and analyze information from multiple sources to identify issues, trends, concentrations, associations, and cause-and-effect relationships involving AI adoption and performance.
  • Develop and maintain AI risk metrics, key risk indicators, key performance indicators, risk appetite measures, and management reporting for stakeholders and governance forums.
  • Partner with Support Functions and Risk Experts to identify applicable enterprise and risk appetite indicators, determine which indicators should be designated as key, evaluate thresholds, and document approved changes in the GRC tool.
  • Monitor AI use cases, controls, incidents, exceptions, performance measures, and risk indicators to validate compliance and program effectiveness.
  • Investigate actual or potential operational losses, AI incidents, model or system failures, control breakdowns, and unexpected events; support root cause analysis and identification of corrective actions.
  • Execute applicable ERM scenario analysis activities and contribute AI-related scenarios, assumptions, impacts, and mitigation strategies.
  • Support identification and linkage of loss events to applicable RCSA processes and risks, where appropriate.
  • Highlight control breakdowns, inadequate processes, emerging exposures, and unexpected events and work with Business Controls leadership and business owners to implement corrective actions.
  • Support resolution of issues from Internal Audit, Compliance, Model Risk Management, Information Security, Privacy, Enterprise Risk, or other risk management functions that could affect confidentiality, integrity, availability, performance, explainability, or lawful use of data, models, systems, and business processes.
  • Partner with business managers to implement remediation actions in accordance with the Bancorp's issues management framework and coordinate business ownership of processes, risks, controls, tests, and action plans.
  • Assist with root cause analysis, action plan evaluation, milestone monitoring, evidence review, validation readiness, and closure activities.
  • Participate in issue remediation and escalate delays, dependencies, risk acceptances, or ineffective corrective actions through appropriate governance channels.
  • Stay informed of applicable laws, regulations, regulatory guidance, supervisory expectations, and industry practices affecting AI and emerging technologies, including OCC Heightened Standards and applicable model, technology, data, privacy, consumer protection, and third-party risk expectations.
  • Assist with executing the regulatory change management program to ensure AI-related changes are identified, assessed against business processes and controls, reported, implemented, and sustained.
  • Support responses to regulatory examinations, internal audits, compliance reviews, risk assessments, and governance inquiries involving AI-enabled products, services, processes, or controls.
  • Communicate emerging AI risks and regulatory developments to stakeholders and help translate expectations into practical business and control requirements.
  • Provide oversight and effective challenge for the line of business AI supplier and outsourcing strategy, including review of business cases involving foundation models, cloud AI services, software providers, data providers, and other external AI capabilities.
  • Participate in escalated issues that affect line of business processes and involve AI suppliers or other third parties, where applicable.
  • Work with business and risk partners to identify inherent risks, required controls, due diligence expectations, contractual considerations, monitoring requirements, and exit strategies for third-party AI solutions.
  • Collaborate with groups responsible for information barriers, data governance, privacy, records management, cybersecurity, and access controls to ensure appropriate controls over information used by or generated through AI solutions.
  • Build effective relationships with business leaders, product owners, technology teams, data teams, Business Controls groups, and the second and third lines of defense, including Legal, Compliance, Enterprise Risk, Model Risk Management, Information Security, Privacy, and Audit.
  • Serve as an analytical and procedural expert to peers and stakeholders on cross-functional AI governance processes, risk assessments, project deliverables, and control requirements.
  • Support AI governance committees, working groups, and management forums by preparing clear risk analyses, decision materials, metrics, issue updates, and recommendations.
  • Provide constructive challenge while maintaining an enablement-oriented approach that helps stakeholders make informed, risk-based decisions.
  • Develop or support training, guidance, communications, and awareness activities that promote responsible AI practices and consistent execution of governance requirements.
  • Develop and manage applicable AI product and use case inventories and execute the ERM product risk review program for AI-enabled capabilities.
  • Support new government programs, regulatory initiatives, or special internal projects involving AI or emerging technologies.
  • Support new risk programs required by regulatory authorities or Enterprise Risk Management.
  • Assist with due diligence, closing, integration, and other risk matters related to acquisitions, strategic investments, or partnerships involving AI capabilities.
  • Perform additional responsibilities as assigned by line of business, functional, Business Controls, or Risk leadership.

Desired Qualifications

  • Experience helping business and technology teams move AI use cases from concept or proof of concept into controlled production use.
  • Experience with AI governance programs, AI or model inventories, AI risk assessments, responsible AI controls, technology governance, or emerging technology oversight.
  • Familiarity with the NIST AI Risk Management Framework, ISO/IEC 42001, model risk management guidance, OCC supervisory expectations, and other relevant banking or technology risk frameworks.
  • Experience with enterprise AI technologies or platforms such as Microsoft Copilot, Azure AI services, AWS AI services, large language models, intelligent automation platforms, or comparable capabilities.
  • Professional certifications such as CRISC, CISA, CISSP, CRCM, FRM, PMP, or relevant cloud or AI certifications.
  • Experience supporting AI governance committees, model risk committees, technology risk committees, product governance forums, or similar cross-functional decision-making bodies.

About the Company

Fifth Third Bank

Banking, loans, mortgages, and wealth management

Fifth Third Bank provides a broad range of financial services to individuals, small businesses, and commercial clients, including banking, loans, mortgages, life/health/disability insurance, and wealth management. Customers access these products through branches and online platforms like 53.com, with revenue coming from loan interest, banking fees, and commissions. It differentiates itself by offering an integrated suite of banking, lending, insurance, and advisory services under one roof, along with a focus on community engagement and financial education. Its goal is to help clients manage money and grow financially by delivering comprehensive solutions and steady, fee- and interest-based revenue.

Company size
10,001+
Company stage
IPO
Headquarters
Cincinnati, OH
Founded
1858

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