EXL

VP – Fraud Strategy, Analytics

EXL

full-time

Posted on:

Location Type: Hybrid

Location: 🇺🇸 United States

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Salary

💰 $200,000 - $240,000 per year

Job Level

Lead

Tech Stack

PySparkPythonSQLTableau

About the role

  • 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.

Requirements

  • 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.
  • Bachelor's or master's degree in data science, Computer Science, Statistics, Business Analytics, or related field. Advanced degrees preferred.
  • Ability to travel as needed to client sites and industry events.
Benefits
  • For more information on benefits and what we offer please visit us at __https://www.exlservice.com/us-careers-and-benefits__

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Fraud AnalyticsAIData ScienceHivePySparkSQLPythonMachine LearningTableauPredictive Analytics
Soft skills
Account LeadershipTeam LeadershipProject DeliveryQuality AssuranceCross-functional CollaborationThought LeadershipCommunicationStakeholder ManagementBusiness AcumenMentoring
Certifications
Bachelor's degreeMaster's degree