Compliance Manager – Fair and Responsible Banking

Role Overview

• Lead the design and implementation of automation, AI-assisted monitoring, and advanced analytics processes to strengthen fair lending risk identification through file review, and monitoring scalability.
• Collaborate with the FARB Analytics Team to interpret regression model outputs, AI-assisted insights, and statistical analyses, and translate those results into monitoring priorities, automation opportunities, targeted reviews, and escalation of potential fair lending risks.
• Design and maintain repeatable analytics workflows, review worksheets, and workpapers that align monitoring scope to model outputs, regulatory expectations, and identified areas of elevated risk.
• Design and implement automated reporting, dashboards, and data visualization that deliver accurate, timely, and executive-ready information to support management oversight, issue escalation, and program transparency.
• Lead fair lending loan file examinations, including comparative credit and file reviews, targeted testing, and validation of underwriting and decisioning outcomes to evaluate compliance with applicable fair and responsible banking laws, regulations, and internal standards.
• Use of analytics tools such as SAS, SQL, Python, and Power BI to quantify risk, analyze credit and lending outcomes, support comparative review selection, and inform automation-enabled fair lending monitoring strategies.
• Provide mentoring and guidance to peers and other members of the team as well as other members of Risk Management.

Requirements

• Minimum of 3–5 years of direct fair lending compliance experience, including fair lending monitoring, comparative file review, underwriting or decisioning analysis, and identification or escalation of potential discriminatory lending risk.
• Extensive knowledge of fair lending laws, regulations, and supervisory expectations, including practical experience applying those requirements in monitoring, testing, file review, and issue escalation activities.
• Demonstrated proficiency with automation, AI/ML, and analytics tools such as Power BI, Tableau, or comparable platforms to support fair lending monitoring, risk identification, trend analysis, and predictive insights.
• Minimum of 3–5 years of relevant underwriting, credit analysis, or underwriting quality control experience across multiple consumer lines of business, with the ability to perform comparative credit and file reviews and assess decisioning outcomes.
• In-depth practical knowledge of internal controls, risk assessments, compliance processes, and applicable techniques for the implementation of regulatory and legal requirements.
• Demonstrated proficiency with data analytics and reporting tools (e.g., SAS, Python, GCP, Tableau, etc.)
• Experience leveraging AI/ML or advanced analytics techniques to support risk identification, trend analysis, or automation.
• Proven ability to work with datasets and translate findings into actionable compliance insights.
• Experience designing or supporting automated reporting, data pipelines, or analytics processes.
• Strong leadership skills, including the ability to work in a team environment.
• Proven track record of integrity, strong ethics, and sound decision-making skills, including the ability to make decisions independently and quickly.
• Demonstrated skill in effectively communicating (verbal and written) results to a diverse audience; ability to work with all levels of management with a focus on collaboration and relationship management.
• Strong attention to detail coupled with strong problem-solving and analytical skills.
• Proven ability to think proactively and drive results.
• Strong project management skills and/or continuous improvement mindset.

Tech Stack

• Google Cloud Platform
• Python
• SQL
• Tableau

Benefits

• Eligible for incentive compensation which may include production, commission, and/or discretionary incentives.
• Flexible options in circumstances where roles can be performed effectively in a mobile environment.