Role: Vice President – Fraud Strategy | Analytics | Banking & Financial Services
Location: NYC , NY – Onsite
Full Time Role
Job description:
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:
- Bachelor’s or Master’s 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.
EEO/Minorities/Females/Vets/Disabilities
#1 Industry: Banking & Financial Services
#2 Team: Big Data, Analytics, and AI