The Risk and Identity Solutions group at Visa focuses on delivering fraud detection and prevention solutions that enable every good transaction to be approved, every bad transaction to be declined, all with a seamless customer experience. Central to this strategy is the use of AI/ML models that are trained to detect fraud in the card payment ecosystem. Visa has pioneered these capabilities for over 25 years and is continuing to evolve its capabilities to address the rapidly changing needs from today’s digital payment ecosystem. Some job duties and projects could include: Analyze and synthetize data into content that can be used to define commercialization strategies. Assist in strategy definition through research and critical thinkingWork with regional teams on product readiness, including defining pricing and commercialization approach, going through pre-deployment gates, securing necessary approvals, and ensuring internal teams are ready and supportiveWork with marketing teams to develop collateral that communicates the value of the solutions to clients and helps them get startedWork with potential partners/clients to evaluate their capabilities, define use cases, commercial constructs and contribute to investment decisionsConduct data analysis to support pilots such as gathering and synthesizing data to measure success or failure of the pilotsCreate aesthetic, user friendly reporting capabilities that generate insights on Data Model's performance (e.g., fraud rate reduction, rule execution results, etc.)Gather intel on the 'Voice of the Client' through interviews/surveys and other client engagement opportunitiesCollect competitive intelligence and prepare analysis on opportunitiesIdentify strategic opportunities to enhance Data Models
