• Role: Vice President Fraud Strategy | Analytics | Banking & Financial Services • Location: New York City • Type: Hybrid • Compensation: Up to $240k Base + 20% bonus + $42,500 Equity Key Responsibilities: • Account Leadership: Lead and manage the client engagement, ensuring delivery of high-impact analytics and Fraud Analytics and Strategy projects aligned with strategic business priorities. Build and sustain strong executive-level relationships within the client. • Team Leadership & Development: Manage and mentor a multidisciplinary team of data scientists, engineers, analysts, and consultants to foster innovation, technical excellence, and client satisfaction. • Project Delivery & Quality Assurance: Oversee all phases of project lifecycle from discovery and solution design to deployment and optimization ensuring high-quality, scalable, and compliant AI solutions. • Cross-functional Collaboration: Partner with sales, marketing, product, and technology teams to align analytics initiatives with broader business strategies. • Thought Leadership & Industry Expertise: Represent at industry events, contribute to whitepapers, and share best practices on analytics and AI trends relevant to financial technology and payments. Qualifications: • Bachelors or Masters degree in Data Science, Computer Science, Statistics, Business Analytics, or related field. Advanced degrees preferred. • 12+ years of experience in analytics, AI, or data science leadership roles, ideally within consulting or financial technology sectors. • Experience in Fraud Analytics and Strategy: • 8+ years of experience in Fraud strategy (preferably Seller Risk Fraud) • Experience with managing application fraud, transaction fraud • Technical Skills Required: Familiarity with Hive, PySpark, SQL, Python, Machine Learning tools and Tableau / other data visualization techniques • Familiarity with Fraud rule writing techniques and rule governance mechanisms • Ability to bring thought leadership to build real time Fraud solutions through analytics or internal tools • Proven track record managing large, strategic accounts with complex data and AI projects, preferably with experience working with leading banking or fintech clients. • Deep expertise in AI/ML techniques, big data technologies, predictive analytics, and data engineering. • Strong business acumen and ability to translate technical capabilities into strategic business value. • Exceptional communication and stakeholder management skills, with experience engaging C-suite executives. • Ability to travel as needed to client sites and industry events.