Senior Engagement Lead - Risk & Fraud Analytics

Straive is a global leader in enterprise-grade data analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit.

Our core focus is on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations. We specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, retail and logistics, helping them build robust data analytics and AI capabilities.

With a client base spanning 30 countries, Straive's strategically located teams operate from eight countries and is headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective.

Join Straive to be part of a dynamic team at the forefront of data analytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects, supported by significant investments and an entrepreneurial drive fueled by our partnership with EQT.

Website:

Job Title:
Senior Engagement Lead - Risk & Fraud Analytics

Location:
Baltimore, Maryland (Hybrid)

Job Type: FTE

We are seeking a highly accomplished Senior Engagement Lead to lead strategic Data, Analytics, and AI engagements for one of our key clients. This role requires a seasoned consulting professional with deep expertise in payments analytics, fraud risk management, and advanced analytics delivery.

The ideal candidate will bring a strong blend of business consulting, stakeholder management, thought leadership, and delivery excellence. They will serve as a trusted advisor to senior client stakeholders while ensuring successful execution of complex analytics initiatives that drive measurable business outcomes.

This position is heavily client-facing and requires exceptional communication skills, executive presence, and the ability to translate complex analytical insights into actionable business strategies.

• Serve as a strategic partner and trusted advisor to stakeholders across Risk, Fraud, Payments, Analytics, and Product organizations.
• Understand client priorities, business challenges, and emerging opportunities within the payments and fraud ecosystem.
• Drive executive-level discussions and present analytical insights, recommendations, and transformation roadmaps.
• Partner with client leadership to identify opportunities for leveraging Data, Analytics, and AI to improve business performance.
• Build and maintain strong relationships with senior business and analytics leaders.
• Contribute to account growth through consultative engagement and value creation.

• Lead end-to-end delivery of large-scale analytics and AI programs focused on fraud risk, payment risk, transaction monitoring, customer protection, and decision intelligence.
• Manage cross-functional teams of data scientists, analysts, consultants, and engineering resources.
• Ensure delivery excellence, quality governance, stakeholder alignment, and achievement of business objectives.
• Translate business requirements into analytical frameworks, models, and actionable recommendations.
• Oversee project planning, resource allocation, risk management, and executive reporting.
• Drive adoption of advanced analytics, machine learning, AI, and automation solutions.
• Establish best practices for analytics consulting, solution design, and program execution.

• Act as a recognized subject matter expert in payments analytics, fraud analytics, and risk management.
• Stay current with emerging industry trends, regulatory developments, AI innovations, and fraud prevention technologies.
• Develop executive-level points of view, whitepapers, frameworks, and client presentations.
• Mentor teams and promote a culture of innovation and analytical excellence.
• Represent the organization in client workshops, industry forums, and leadership discussions.

• Bachelor's degree from a highly reputed university in Engineering, Computer Science, Mathematics, Statistics, Economics, Finance, or a related quantitative discipline.
• Master's degree (MBA, MS, Analytics, Data Science, Statistics, or related field) preferred.
• 10+ years of experience in Analytics Consulting, Risk Analytics, Fraud Analytics, Payments Analytics, or Data Science.
• Proven experience managing large client-facing analytics engagements.
• Payments Analytics.
• Card Payments Ecosystem.
• Digital Payments & Consumer Banking Analytics.
• Prior consulting experience with leading firms such as leading analytics consulting organizations.
• Strong understanding of AI/ML applications in risk, fraud, and financial services.
• Demonstrated success managing executive stakeholders and delivering…