AVP, Consumer Compliance, Fair & Banking, Fair Lending Fort Lee United

About Cross River

Cross River is a highly profitable, fast‑growing financial technology company powering the future of financial services. Our comprehensive suite of innovative and scalable embedded payments, cards, and lending products deliver financial services for millions of businesses and consumers around the globe. Cross River is backed by leading investors and serves the world’s most essential fintech and technology companies. Together with its partners, Cross River is reshaping global finance and financial inclusion.

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.

• 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 implementation 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.

• 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.
• Knowledge of consumer lending and banking products and practices.
• Knowledge of U.S. 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
  • Statistical significance model proxy testing
  • Quantification of disparate impact
  • Determination of affected groups

• Strong planning and organizational skills, with an ability to establish strategic direction and subsequently develop and manage supporting initiatives.
• Excellent presentation and communication skills, including technical writing abilities.
• Strong oral and written communication skills with ability to succinctly describe complex technical scenarios in simple terms.
• Ability to direct, manage, and support staff.
• Ability to interact positively with federal regulatory agencies.
• Ability to operate successfully in a fast‑paced environment.
• Ability to collaborate successfully across internal teams.
• Ability to communicate effectively with colleagues with varying degrees of technical analytics knowledge and experience.

Salary Range: $ - $

Cross River is an Equal Opportunity Employer. Cross River does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non‑disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.