Product Analyst (Predictive Fraud Intelligence)

Visa’s Risk and Security (RAS) group delivers advanced fraud detection and prevention solutions, ensuring seamless, secure payment experiences. The Predictive Fraud Intelligence (PFI) team develops core AI/ML products within the Visa Protect suite, empowering clients to detect and prevent fraud throughout the payment lifecycle.

The Product Analyst (Predictive Fraud Intelligence) will support the design, development, and delivery of advanced fraud and scam detection capabilities for real-time push payments, including both Visa and non-Visa payment flows. This role sits at the intersection of payments, AI, data science, fraud risk, and product management, and will be responsible for translating complex fraud and scam challenges into scalable product capabilities that protect clients, consumers, and the broader payments ecosystem.

Key Responsibilities:

• Support the product strategy and execution for AI-enabled predictive fraud intelligence capabilities across real-time push payment use cases.
• Define small scale product requirements for fraud and scam detection models, risk scores, data signals, decisioning capabilities, dashboards, and client-facing product features.
• Partner with AI data scientists, data engineers, software engineers, platform teams, and infrastructure teams to design, build, deploy, and improve fraud detection capabilities.
• Support development of capabilities for scam detection, mule activity, account takeover, suspicious beneficiary detection, behavioural anomalies, and other high-risk payment use cases.
• Work across Visa and non-Visa payment flows, helping ensure product capabilities are scalable across multiple rails, markets, clients, and integration models.
• Define and monitor success metrics, including fraud detection uplift, false positive rates, model performance, client adoption, transaction coverage, and commercial impact.
• Support pilots, client demos, product training, internal enablement, market activation, and launch readiness activities.
• Collaborate with regional, commercial, risk, legal, compliance, and client-facing teams to ensure product capabilities meet market, client, and regulatory needs.
• Promote responsible use of AI and emerging technologies while ensuring appropriate consideration of privacy, security, resilience, explainability, and governance.

Qualifications:

• Relevant work experience and a Bachelor's degree
• Experience in defining and documenting functional, nonfunctional, and technical requirements for products or services.
• Experience in utilizing project management tools to plan, execute, and monitor projects.
• Experience with AI, machine learning, predictive analytics, fraud scoring, behavioural analytics, anomaly detection, graph analytics, or transaction monitoring products.
• Understanding of real-time payments, push payments, digital payments, account-to-account transfers, card payments, or payment network ecosystems.
• Experience working cross-functional with technology teams, including data science, data engineering, software engineering, platform, infrastructure, or analytics teams.
• Experience in supporting the development and delivery of small-size product features.
• Experience in written and verbal communication with technical and non-technical stakeholders.