VP - Fraud Strategy & Analytics

VP - Fraud Strategy & Analytics 

VP - Fraud Strategy & Analytics 

• 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. 

• 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. 

The typical base pay range for this role across the U.S. is USD $200,000 - $240,000 per year.  

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits 

EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.

EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.