Fraud Analyst

Position: Senior Fraud Business Systems AnalystOpenings: 1Location: Hybrid in Miami Lakes - M, T ThDuration: 12 month contract to hireInterview Process: 1 round, potentially 2 Must Haves5+ years as a Business Analyst or Business Systems AnalystExperience in a financial institution (bank, credit union, fintech)Strong end‑to‑end requirements and SDLC experienceExperience supporting fraud, risk, payments, or transactional systemsAbility to work in a 70% technical / 30% functional roleComfortable owning and supporting applications end‑to‑endUnderstanding of common banking fraud typesFlexible, adaptable personality with strong communication skills Nice to HavesExperience with fraud platforms (e.g., FICO, Experian Optimize)Digital banking or payments experienceAgile environment experienceBilingual English and SpanishBackground in Computer Science ResponsibilitiesGather and document business and fraud‑related requirementsTranslate requirements into user stories, functional documentation, and acceptance criteria to support development and testingSupport end‑to‑end SDLC activities, including development, testing, UAT, and release supportTroubleshoot and resolve issues related to fraud, payments, and transactional systems, partnering closely with Engineering and QAManage and track work using tools such as Jira and ServiceNowCollaborate with Fraud, Risk, Product, Engineering, Compliance, and Technology teams to implement fraud controls and system enhancementsHelp enhance and optimize fraud monitoring and decisioning systems, including integrations and workflow improvementsDrive process improvements and change management efforts, ensuring smooth adoption of system and product changes OverviewSupport fraud prevention and detection efforts within BankUnited’s digital banking ecosystem. This role blends application support and business systems analysis, owning fraud‑related applications, troubleshooting issues, documenting requirements, and partneringwith technology teams to ensure systems are stable, compliant, and optimized. Strong fraud domain knowledge is critical, as the learning curve is steep for candidates without prior fraud exposure.