Sr. Fraud and Model Risk Manager job opportunity at Early Warning Services, LLC.

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Early Warning Services, LLC Sr. Fraud and Model Risk Manager
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Pattern: full-time
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loacation Scottsdale, United States Of America
loacation Scottsdale....United States Of America

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 T he Senior   Fraud and Model   Risk Manage r   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   t eaming efforts .   Oversee fraud   loss   metrics, trends, and root-cause analysis .   Provide independent oversight and   governance   of   AI/ML models, including the use of Gen erative   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 ,   D ata   S cience , Risk   Management   or   a   related   STEM   discipline   12 +   year s of experience in   Fraud Risk Management ,   Model /AI   Risk Management,   AI/ML development,   Financial Crime,   A udit or   C ompliance roles   Experience with Fraud Risk Assessments , KRIs and loss analytics   Working knowledge of   f raud typologies ( payments,   identity,   scams , social engineering)   Excellent communication, organization, and interpersonal skills, with   demonstrated   ability to collaborate and build trust in business partners   Demonstrated success leading risk functions in a 3LOD environment   Experience with policy development as it relates to meeting compliance requirements   Demonstrated ability to work effectively in a complex, highly regulated environment   Background and drug screen   ​ 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. Preferred Qualifications Master’s Degree   Experience in   banking, fintech,   payments, real-time P2P, cards, ACH, or network-based platforms   Knowledge of   regulatory   guidance (e.g.,   FRB SR 11-7,   OCC   2012-11 , CFPB , FFIEC ) , NIST AI framework   and fraud governance framework   Hands-on experience   in AI/Model Risk Management   Professional certifications   such as   CFE, CRCM,   or   CAMS   Physical Requirements Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers. Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation. The base pay scale for this position in: Phoenix, AZ/ Chicago, IL / Washington, DC in USD per year is: $129,000 - $161,000. New York, NY/ San Francisco, CA in USD per year is: $154,000 - $193,000. 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    Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses. 401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility. Paid Time Off – Unlimited Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day. 12 weeks of Paid Parental Leave Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.   And SO much more! We continue to enhance our program, so be sure to  check our Benefits page here   for the latest. Our team can share more during the interview process! Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Early Warning Services, LLC (“Early Warning”) considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees. 

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