Compliance Manager ensuring adherence to Google policies in digital marketing campaigns at AMO Publishing. Engaging in data moderation and compliance monitoring in a media tech environment.
About the role
- Senior compliance professional managing Credit Risk and Fair Lending oversight at PayPal. Leading risk assessment projects and collaborating across teams to ensure compliance and responsible lending practices.
Responsibilities
- Lead complex projects and problem resolution efforts related to risk management.
- Collaborate with teams to identify and analyze risks that may impact operations and assets.
- Develop and implement strategies for risk mitigation and compliance.
- Assess current business trends to inform risk management practices and improvements.
- Drive global process improvements through effective project management and stakeholder engagement.
Requirements
- 8+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
- Provide subject matter expertise in fair lending and credit risk compliance across the credit lifecycle (marketing, underwriting, pricing, servicing, and automated decisioning).
- Conduct risk-based compliance assessments and deliver independent review and credible challenge of credit policies, strategies, models, and segmentation approaches.
- Evaluate new products, model changes, and business initiatives for regulatory, consumer protection, and fair lending risk.
- Support and enhance monitoring and testing activities, including review of statistical analyses, performance trends, and exception reporting.
- Translate regulatory requirements (e.g., ECOA/Reg B, FHA, UDAAP, FCRA, HMDA) into clear, actionable guidance for stakeholders.
- Support regulatory examinations, internal audits, and remediation efforts.
- Prepare concise, executive-ready reporting on risk themes, control effectiveness, and mitigation strategies.
- Contribute to strengthening governance frameworks and global compliance processes.
- Provide second-line oversight of AI- and model-driven credit decisioning, ensuring appropriate controls for fairness, bias mitigation, explainability, and performance monitoring.
- Partner with Data Science and Model Risk to assess disparate treatment and disparate impact risk and support responsible AI standards in consumer lending.
Benefits
- generous paid time off
- healthcare coverage for you and your family
- resources to create financial security and support your mental health
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