Risk Analyst, AI Risk Program

Analyst, Artificial Intelligence Risk Management

At Early Warning, we've powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle, Paze?, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.

Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment visa sponsorship.

Analyst, Artificial Intelligence Risk Management, will support the design, implementation, and ongoing execution of the firm's AI Risk Management Program within the Second Line of Defense (SLOD). This role provides independent review, challenge, and advisory support to help ensure the organization's development and use of artificial intelligence including generative AI is safe, responsible, compliant, and aligned with the firm's risk appetite, ethical principles, and regulatory expectations.

Reporting to the Senior Director of Data and AI Risk Management under Operational Risk Management, the Analyst partners closely with first-line business managers, Product Management, Technology (including the CDO office), Data Science teams, as well as Compliance, Legal, Privacy, Third-Party Risk, and Technology & Security Risk. The role supports responsible innovation by helping embed AI risk requirements across the enterprise while ensuring AI-related risks are appropriately identified, assessed, monitored, and governed.

Essential Functions

AI Risk Governance & Program Support

• Support the development, maintenance, and ongoing enhancement of the enterprise AI Risk Management framework, policies, standards, procedures, and control expectations, aligned with industry-recognized frameworks such as the NIST AI Risk Management Framework and ISO / IEC 42001.
• Assist in maintaining and evolving the AI risk and control taxonomy, ensuring alignment with operational risk, model risk management, data governance, privacy, and technology risk frameworks.
• Manage the use of risk management technologies and tooling to inventory AI use cases, track risks, controls, issues, and approvals.
• Assist in the development and delivery of training and awareness related to the AI Risk Management program.

Risk Appetite / Tolerance, Metrics & Monitoring

Risk Identification & Assessment

Independent Review, Challenge & Quality Assurance

Risk Reporting & Insights

Stakeholder Engagement & Advisory

Minimum Qualifications

Preferred Qualifications

The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor.

The base pay scale for this position in Phoenix, AZ / Chicago, IL / Washington, DC in USD per year is : $66,000 - $82,000. New York, NY / San Francisco, CA in USD per year is : $78,000 - $98,000. Additionally, candidates are eligible for a discretionary incentive plan and benefits.

This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate's education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.

Some of the ways we prioritize your health and happiness