SVP, Enterprise Fraud Strategies and Operations

SVP, Enterprise Fraud Strategies and Operations

Position Summary:

As SVP, Head of Fraud Strategies and Operations, this role will be responsible for developing and implementing a comprehensive fraud program that will continue to evolve and keep pace with emerging trends and threats. The SVP, Head of Fraud Strategies and Operations will lead a cross-functional team to identify and mitigate fraud risks, optimize operational efficiency, and deliver exceptional customer experiences.

This will be a highly visible leadership role with direct interaction with executive leadership.

• Define and implement a robust fraud strategy and roadmap that aligns with overall business objectives and fraud risk appetite.
• Provide strategic direction around the development and maintenance of fraud platforms, including rules, models, and detection systems (both internally developed and third party).
• Continuously monitor and evaluate fraud trends, industry best practices, third party solutions and regulatory changes.
• Act as a thought leader across the company on fraud awareness, threat detection and response to keep our customers safe.
• Develop and utilize advanced analytics techniques to identify and respond in real-time to fraud patterns, emerging threat vectors and trends.
• Collaborate with data scientists to develop cutting edge machine learning/AI models to mitigate fraud and enable improved good customer experiences.
• Create robust dashboards and KPIs to track fraud performance and measure the effectiveness of fraud prevention strategies.
• Provide leadership and direction to the fraud operations team, ensuring efficient and effective execution of fraud prevention and detection activities.
• Accountable point of contact for our critical responses to high impact incidents, leading the coordination of efforts inside and outside of the enterprise, e.g. with law enforcement.
• Balance fraud prevention measures with exceptional customer experiences.
• Develop and execute comprehensive fraud prevention that balances the need for security with a seamless and positive customer onboarding experience.
• Minimize false positives and negative impacts on legitimate customers.
• Enable customers to safely and quickly transact across products and money movement systems.
• Champion automation and efficiency initiatives to reduce manual reviews and customer complaints.
• Optimize fraud detection processes and systems to improve operational efficiency and cost-effectiveness.
• Build and manage a high-performing team of product managers, fraud analysts and fraud operations.
• Operate rapidly in a fully cross-functional, iterative and agile fashion when responding to fraud incidents and emerging threats.
• Foster collaboration and effective communication across departments (e.g. engineering, ML/AI, infosec, operations, BSA/AML, compliance, etc) to ensure alignment, planning and effective execution of fraud initiatives. Build new capabilities leveraging cutting edge tech and machine learning/AI models and leverage industry leading solutions.
• Stay up-to-date with fraud regulations and industry standards.
• Conduct regular audits and risk assessments to maintain compliance.
• Document and maintain comprehensive fraud strategy, rule, and model documentation.
• Performs other duties as assigned.

• Bachelor’s degree in Finance, Business, Economics, or a related field; MBA or relevant advanced degree preferred.
• 10+ years of experience in fraud strategies and operations, with at least five years in a senior leadership role.
• Strong background in banking or financial services.

• Proven experience in leading fraud strategy and operations within a fintech or financial services organization.
• Deep understanding of fraud prevention techniques, tools, technologies, industry best practices, and regulatory requirements.
• Strong analytical skills and ability to leverage data to drive decision-making.
• Experience in building and managing high-performing cross-functional teams.
• Excellent communication and interpersonal skills.
• Advanced degree or commensurate experience in a relevant field (e.g., MBA, MS in Data Science).

• Moderate noise…