Vice President - Fraud Strategy & Analytics
- Compensation
- Not disclosed
- Location
- New York, New York, United States
- Work setup
- Not specified
- Seniority
- C level
- Employment
- Not specified
- Experience
- 12+ years
- Category
- Not specified
- Posted
Skills
Must have
- 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:
Full description
- Role: Vice President Fraud Strategy | Analytics | Banking & Financial Services
- **Location: New York City
- **Type: Hybrid
- Compensation: Up to $240k Base + 20% bonus + $42,500 EquityKey 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.