Vice President - Fraud Strategy & Analytics

Role: Vice President Fraud Strategy | Analytics | Banking & Financial ServicesLocation: New York CityType: HybridCompensation: 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 techniquesFamiliarity with Fraud rule writing techniques and rule governance mechanismsAbility 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.

• Role: Vice President Fraud Strategy | Analytics | Banking & Financial Services

Role: Vice President Fraud Strategy | Analytics | Banking & Financial Services

• Location: New York City

Location: New York City

• Type: Hybrid

Type: Hybrid

• Compensation: Up to $240k Base + 20% bonus + $42,500 Equity

Compensation: Up to $240k Base + 20% bonus + $42,500 Equity

Key Responsibilities:

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.

Account Leadership:

• Team Leadership & Development: Manage and mentor a multidisciplinary team of data scientists, engineers, analysts, and consultants to foster innovation, technical excellence, and client satisfaction.

Team Leadership & Development:

• 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.

Project Delivery & Quality Assurance:

• Cross-functional Collaboration: Partner with sales, marketing, product, and technology teams to align analytics initiatives with broader business strategies.

Cross-functional Collaboration:

• 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.

Thought Leadership & Industry Expertise:

Qualifications:

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.