About the Role
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. With over 30 years of industry leadership, Visa continually evolves to meet the demands of the digital payment ecosystem.
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.
Requirements
•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.
Nice to Have
•Experience in independently writing requirements for small-size features over a measurable period.
•Experience in responding to engineering inquiries and providing customer feedback or market data to prioritize functionality.
•Experience in contributing to the collection and quality assurance of identified metrics.
•Experience in supporting the creation of product messaging and communicating feature status to stakeholders.
•Familiarity with fraud and scam risk in real-time payments, including authorized push payment fraud, mule networks, account takeover, social engineering, suspicious beneficiaries, and unusual transaction behaviour.
•Understanding of model performance and monitoring concepts, including precision, recall, false positives, false negatives, thresholds, features, model drift, explainability, and feedback loops.
•Experience with real-time decisioning, API-based products, high-volume transaction environments, or scalable data platforms.
•Experience supporting market launches, pilots, client demos, product training, or regional enablement.
Conditions
•The estimated salary range for a new hire into this position is zł157,500 - zł258,675, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location.
•This position may be eligible for bonus and equity.
•Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, Pension, Life Insurance, Annual Leave, and Wellness Program.
•Visa requires at least 3 days in office; expectations of these days will be confirmed by your Hiring Manager.
