opengreenhousea16z
AVP, Consumer Compliance, Fair & Responsible Banking, Fair Lending
Cross River
LocationFort Lee, New Jersey, United States, Fort Lee, NJ
Last observed2026-06-23 22:50:27.663415
Job ida16z-cross-river:greenhouse:7630570003
Who We Are Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe. Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance. What We're Looking For Cross River Bank is seeking an AVP, Consumer Compliance, Fair & Responsible Banking, Fair Lending. This position reports to the Head of Fair Lending and works closely with the Head of Data Science, Fair Lending Compliance, and Model Risk Management to establish and lead a comprehensive and robust Fair Lending Analytics function. The AVP, Consumer Compliance, Fair & Responsible Banking, Fair Lending manages the development and implementation of modeling and statistical technologies to ensure the Bank’s policies, products, practices, and models are fair. Responsibilities: The AVP, Consumer Compliance, Fair & Responsible Banking, Fair Lending performs a wide range of duties including, but not limited to: Own, enhance, implement, and maintain the Bank’s Fair Lending Analytics Program, ensuring that appropriate Fair Lending statistical analyses are conducted accurately and timely to mitigate fair lending risk across the Bank’s partners and products. Collaborate across multidisciplinary teams—Compliance, Data Science, Model Risk Management, Data Governance, and Human Resources--to set actionable strategy and accomplish organizational objectives. Assist the Bank with meeting its Fair Lending regulatory requirements and maintaining an appropriate Fair Lending Analytics Program that is suitable for its size, complexity, and business model. Advise the Bank’s Board of Directors, Executive Suite, oversight committees, Senior Management, and Bank personnel of emerging fair lending risks or issues to ensure compliance directives are maintained and examination-ready guidelines are followed. Oversee the creation and implement of fair lending analytics procedures. Identify the need for fair lending analytics through the Bank’s various fair lending risk mitigation activities, such as fair lending risk assessments. Collaborate with senior leadership on fair lending analytics-related work concerning regulatory examinations and requests. Review, interpret, and communicate the results of fair lending statistical analysis to a wide range of audiences, including auditors, regulators, Board of Directors, Executive Suite, oversight committees, Senior Management, and Bank personnel. Qualifications: 8+ years’ experience in quantitative finance, statistics, economics, or a related quantitative field with 5+ years’ experience in a project manager or lead position as well as experience managing a team. Bachelor’s Degree from recognized US college or university Knowledge of consumer lending and banking products and practices. Knowledge of US fair lending or fair banking-related laws, regulations, and guidance, including the Equal Credit Opportunity Act (ECOA), the Fair Housing Act (FHA), and Unfair, Deceptive, and Abusive Acts or Practices (UDAAP). Extensive experience with fair lending-related model testing, including the following techniques: Feature/variable proxy testing Less Discriminatory Alternative search Shapley-based model proxy testing Statistical significance model proxy testing Quantification of disparate impact Determination of affected groups Additional Requirements: Strong planning and organizational skills, with an abilit
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