AI-Driven Fraud Intelligence Product Analyst

Visa; Województwo mazowieckie; On-site; PLN 158,000 - 259,000; Full time

Job summary

Visa’s Risk and Security (RAS) group delivers advanced fraud detection and prevention solutions for real-time payments. The Product Analyst will translate complex fraud challenges into scalable product capabilities that protect clients and the broader payments ecosystem, working with AI data scientists, engineers, and stakeholders across regions.

This role requires strong product judgment, payments domain knowledge, and comfort with emerging AI tools to accelerate development and adoption.

Qualifications

• 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 delivering small-size product features and communicating with stakeholders.

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.

Skills

Requirements definition

Project management

AI/ML and analytics

Cross-functional collaboration

Communication skills

Real-time payments knowledge

Small-feature delivery

Education

Bachelor's degree

Job description

Visa’s Risk and Security (RAS) group delivers advanced fraud detection and prevention solutions for real-time payments. The Product Analyst will translate complex fraud challenges into scalable product capabilities that protect clients and the broader payments ecosystem, working with AI data scientists, engineers, and stakeholders across regions.

This role requires strong product judgment, payments domain knowledge, and comfort with emerging AI tools to accelerate development and adoption.