Vice President of Fraud (Analytics)

As the Vice President of Fraud Prevention, you will occupy a crucial, high-visibility position within ID.me, overseeing our comprehensive strategy for detecting, preventing, and investigating fraudulent activity. You'll lead a talented ensemble composed of a data science team crafting sophisticated fraud detection models and an investigative squad committed to dismantling fraudulent sites, detecting social engineering, and infiltrating fraud groups. You will lead your teams to work cross-functionally and collaboratively with product management, user experience, and our key technology vendors to secure our users' digital identities and protect our government and private sector partners.

Key Responsibilities:

• Oversee and drive the achievement of key performance indicators (KPIs) that measure the effectiveness of detecting and  preventing fraudulent activity on the ID.me network while minimizing the impact on genuine users.
• Ensure the accuracy and precision of data signals used to evaluate user behavior and leverage analytical / machine learning capabilities to detect deviations from expected legitimate activity
• Collaborate closely with Product Management and Engineering to drive Product enhancements that detect and prevent fraudulent actors from accessing the ID.me network
• Monitor and evaluate the effectiveness of our fraud prevention strategies, identifying trends and patterns in fraud attacks and implementing mitigation plans.
• Analyze how fraudulent users impact our cost basis and customer support functions, developing strategies to reduce their impact.
• Assess the customer experience, equity, and cost implications of non-fraudulent users flagged as fraud, and develop ways to minimize false positives.
• Conduct detailed analyses of the types of attacks we prevent and those that bypass our measures, improving our rules and processes accordingly.
• Develop a comprehensive understanding of our customer base and how different patterns of fraud affect them.
• Build two-way feedback loops tied to both qualitative and quantitative fraud patterns with cross functional teams
• Integrate ubiquitous signals into our fraud detection and prevention strategies.
• Create consistent feedback loops with component vendors to drive improvement in Product performance to prevent fraud
• Audit segments of users categorized as specific types of fraud to ensure accurate classification
• Balance real-time fraud prevention efforts with a long-term machine learning approach to continually improve our fraud prevention capabilities.
• Communicate effectively with stakeholders about fraud trends and our roadmap to mitigate them.

Qualifications:

• Bachelor's degree in a relevant field; Master's degree or equivalent experience preferred.
• A minimum of 10 years of experience in fraud prevention, ideally in the digital identity or fintech industries.
• Proven leadership and team management abilities.
• Strong analytical skills and the ability to use data to make informed decisions.
• Ability to balance the demands of real-time fraud prevention with a long-term, strategic approach.
• Exceptional communication skills and the ability to engage effectively with stakeholders at all levels.
• Understanding of machine learning applications in fraud detection would be an advantage.

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