Senior Engagement Lead - Risk & Fraud Analytics

Senior Engagement Lead – Risk & Fraud Analytics

Washington, DC (Hybrid) | Full-Time

This is a fast-growing, PE-backed global data analytics and AI business with over 18,000 employees operating across nine countries. Backed by a top-tier private equity firm, the company has been on an aggressive growth trajectory, completing multiple strategic acquisitions in the AI and data science space. They serve clients across financial services, retail, technology, pharma, and logistics, working with Fortune 500 companies and PE portfolio firms.

This is a senior, client-facing engagement lead position overseeing complex analytics and AI programmes for a flagship payments client. You will split your time roughly 60/40 between delivery and business development, eventually managing a team of 4-5 people. You will report directly to the SVP leading all US East engagements and serve as the primary strategic point of contact for senior stakeholders across Risk, Fraud, Payments, and Product.

• Act as a trusted advisor to senior stakeholders across fraud, payments, risk, and product functions
• Drive executive-level conversations and present analytical insights, transformation roadmaps, and strategic recommendations
• Identify opportunities to apply data, analytics, and AI to solve client business challenges
• Contribute to account growth through consultative engagement and value creation

• Lead end-to-end delivery of large-scale analytics and AI programmes focused on fraud risk, payment risk, and transaction monitoring
• Manage cross-functional teams of data scientists, analysts, and consultants
• Translate business requirements into analytical frameworks, models, and actionable outputs
• Oversee project planning, resource allocation, risk management, and executive reporting
• Drive adoption of machine learning, AI, and automation solutions across client environments

• Act as a subject matter expert in payments analytics, fraud analytics, and risk management
• Stay current on emerging fraud prevention technologies, AI developments, and regulatory trends
• Develop executive-level points of view, frameworks, and client presentations
• Mentor internal teams and represent the business in client workshops and industry forums

• 10+ years in analytics consulting, risk analytics, fraud analytics, or payments analytics
• Strong domain knowledge in fraud detection and prevention, payment risk, card payments, and consumer banking analytics
• Background in a leading analytics or management consultancy
• Demonstrated experience managing senior client stakeholders and delivering measurable business impact
• Proficiency in AI/ML applications within financial services or risk/fraud contexts
• A strong academic background in a quantitative discipline (Engineering, Statistics, Mathematics, Computer Science, Economics, or Finance); a Masters or MBA is preferred