Sr. Fraud and Model Risk Manager

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.

Overall Purpose

The Senior Fraud and Model Risk Manager will provide independent oversight, challenge, and governance of the enterprise’s fraud and model risk activities. This role requires deep fraud/scam risk expertise, strong analytical capabilities, and the ability to influence across functions and leadership levels.    

Essential Functions

• Design and operate an effective 2LOD fraud risk management program, including policies, standards, fraud risk appetite, KRIs, tolerances, and aggregate fraud risk at enterprise level 

• Provide independent oversight and challenge of 1LOD fraud strategies, rules, controls, operations and red teaming efforts. Oversee fraud loss metrics, trends, and root-cause analysis. 

• Provide independent oversight and governance of AI/ML models, including the use of Generative AI. Maintain a strong model risk management framework, including but not limited to model inventory, risk assessment, approval, deployment, change management, and ongoing performance evaluation. 

• Enable strong cross-functional governance and communication, establishing forums and partnerships across 1LOD, 2LOD, Compliance, Cyber Risk, Data Science, Fraud Analytics, Product, and Risk teams to support real-time information sharing and coordinated risk response. 

• Support regulatory, audit, and reporting needs, including tracking regulatory developments, supporting internal and external audits, preparing risk reporting for business reviews, committees, and audits, and ensuring clear accountability for risk management decisions. 

• Promote risk culture, awareness, and data protection, contributing to fraud and model risk training, stakeholder education, and supporting the organization’s commitment to safeguarding system integrity, data confidentiality, and customer trust. 

Minimum Qualifications

• Bachelor’s degree in Computer Science, Data Science, Risk Management or a related STEM discipline