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.
The successful candidate will work closely with AI data scientists, data engineers, platform teams, product leaders, regional teams, and client-facing stakeholders to define product requirements, prioritize model and platform enhancements, and support the deployment of new predictive intelligence capabilities into live payment environments.
This is a highly cross-functional role requiring strong product judgment, payments domain knowledge, experience with AI and machine learning concepts, and the ability to lead complex initiatives from discovery through launch, adoption, and performance optimization.
All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools — for example, Claude, ChatGPT, Microsoft Copilot, or similar tools — to support everyday work, improve productivity, and accelerate product development activities.
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.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic 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.
Preferred Qualifications
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.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa welcome and encourages application from persons with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
