What are the responsibilities and job description for the VP I, Risk Analytics (Fraud Strategy) position at Credit One Bank?
Description
Position Summary
The Vice President of Acquisition Fraud Strategy is responsible for leading the strategy, design, and continuous improvement of fraud prevention controls across the credit card customer acquisition lifecycle. This role oversees the development of enterprise strategies to detect and prevent application fraud, identity theft, synthetic identity fraud, and account opening abuse while maintaining a seamless and competitive customer onboarding experience.
The Vice President sets the strategic direction for acquisitions fraud risk management, partnering closely with Product, Digital Experience, Data Science, Credit Risk, Fraud Operations, Customer Service, and Technology teams to build scalable fraud prevention frameworks. This includes defining identity verification strategies, authentication requirements, and risk-based decisioning models used during application and account opening processes across direct mail, digital, and partner channels.
The ideal candidate brings deep expertise in credit card fraud, digital identity verification, and application risk management systems, along with strong cross-functional leadership, the talent for developing a high-impact team, and the ability to influence senior stakeholders.
Summary Of Essential Job Functions
Position Summary
The Vice President of Acquisition Fraud Strategy is responsible for leading the strategy, design, and continuous improvement of fraud prevention controls across the credit card customer acquisition lifecycle. This role oversees the development of enterprise strategies to detect and prevent application fraud, identity theft, synthetic identity fraud, and account opening abuse while maintaining a seamless and competitive customer onboarding experience.
The Vice President sets the strategic direction for acquisitions fraud risk management, partnering closely with Product, Digital Experience, Data Science, Credit Risk, Fraud Operations, Customer Service, and Technology teams to build scalable fraud prevention frameworks. This includes defining identity verification strategies, authentication requirements, and risk-based decisioning models used during application and account opening processes across direct mail, digital, and partner channels.
The ideal candidate brings deep expertise in credit card fraud, digital identity verification, and application risk management systems, along with strong cross-functional leadership, the talent for developing a high-impact team, and the ability to influence senior stakeholders.
Summary Of Essential Job Functions
- Design and optimize identity verification and authentication frameworks
- Develop and maintain fraud risk policies and decision strategies
- Lead and develop a high-performing fraud strategy team
- Monitor emerging fraud trends and attack patterns
- Balance fraud prevention with customer experience and growth objectives
- Collaborate cross-functionally to embed fraud controls throughout the customer acquisition journey
- Guide investments in fraud detection technologies and identity solutions
- Establish performance metrics and reporting
- Ensure compliance with regulatory expectations
- Present fraud strategy insights and performance updates to executive leadership
- 10 years of progressive experience in fraud risk management, payments risk, or financial crimes within financial services or credit card organizations
- Extensive expertise in acquisitions fraud, including application fraud, identity theft, and synthetic identity risk
- Proven track record of developing enterprise fraud strategies that reduce fraud losses while enabling portfolio growth and maintaining customer experience
- Demonstrated ownership of large-scale fraud risk portfolios with measurable financial impact (e.g., fraud loss reduction, approval optimization, or operational efficiency improvements)
- Experience with fraud risk decisioning platforms, including strategy design, rule management, and real-time decision orchestration within enterprise risk systems used for customer acquisition and identity verification.
- Experience partnering with Data Science and Analytics organizations to deploy predictive models, machine learning capabilities, and advanced analytics in real-time decisioning environments
- Experience partnering with Model Governance teams to ensure model safety and soundness
- Strong executive leadership capabilities, including building and leading high-performing teams and developing future leaders
- Ability to influence enterprise strategy and decision-making
- Experience establishing governance framework, risk-appetite, and performance metrics
- Familiarity with regulatory expectations and industry standards
- Bachelor’s degree required; advanced degree preferred in business, finance, data science, or related discipline