Senior Business Analyst, Fraud Risk Technology

What you'll do

• Translate complex business and risk requirements into detailed functional and technical specifications.
• Elicit and document requirements using AI-assisted tools to produce BRDs, FRDs, and technical specifications.
• Design process artifacts including use case models, activity diagrams, and BPMN 2.0 workflows.
• Decompose business initiatives into Jira Epics and INVEST-compliant User Stories with Gherkin syntax.
• Maintain a Requirements Traceability Matrix linking regulatory mandates to test cases and audit evidence.
• Translate fraud typologies into functional specifications for machine learning models and real-time rule engines.
• Define data mapping, schema definitions, and API payloads for real-time transaction screening and event streaming.
• Formulate and execute User Acceptance Testing (UAT) strategies and defect triage workflows.

What we're looking for

• Bachelor’s or Master’s degree in Computer Science, Management Information Systems, Finance, Business Analytics, or a related discipline/experience.
• 6+ years of progressive experience as an IT Business Analyst, Systems Analyst, or Technical Product Owner.
• 2–3 years of experience dedicated to fraud detection, Anti-Money Laundering (AML), or payment risk within financial services or FinTech.
• Deep expertise in Agile frameworks (Scrum, Kanban, SAFe), hybrid delivery models, and the end-to-end Software Development Life Cycle (SDLC).
• Practical experience with market-leading fraud detection and decisioning engines.
• Proficiency in Jira, Confluence, diagramming tools (Microsoft Visio, Enterprise Architect), and API testing/inspection utilities (Postman, Swagger).
• Certified Business Analysis Professional (CBAP®) or PMI Professional in Business Analysis (PMI-PBA®) (preferred).
• Certified Scrum Product Owner (CSPO®) or Professional Scrum Product Owner (PSPO™) (preferred).