Citi
Citi
Citi is a global banking and financial services company serving consumers, corporations, governments, and institutions. Its offerings span consumer banking, credit cards, wealth management, corporate banking, and investment banking, supported by operations in more than 100 countries. As a large international finance organization, Citi brings together teams working across banking, financial services, and fintech.

Senior Fraud Risk Technology Business Analyst at Citi

At Citi, translate fraud and payment risk needs into technology solutions, defining integrations, user stories, and testing for detection systems. Partner across risk, compliance, operations, and engineering teams to support fraud technology delivery.

Description

  • Turn complex business and risk needs into clear technology deliverables.
  • Connect Fraud Operations, Compliance, Risk Management, and Technology engineering teams.
  • Use AI-assisted elicitation tools and collaboration insights to guide workshops and identify business rules.
  • Gather and document functional and non-functional needs in business and functional requirements documents and technical specifications.
  • Build and maintain use case models, diagrams, and BPMN 2.0 workflows.
  • Specify technical and integration needs for detection engines, third-party platforms, and payment rails.
  • Break initiatives into Jira epics and INVEST-aligned user stories with Gherkin acceptance criteria.
  • Track mandates through requirements, test cases, and audit evidence in a requirements traceability matrix.
  • Lead Jira backlog refinement and sprint planning.
  • Turn fraud patterns into specifications for machine learning models and real-time rule engines.
  • Assess impacts and investigate root causes of fraud policy and rule changes.
  • Coordinate work across banking engines, fraud decision platforms, case management workflows, and identity verification and biometric APIs.
  • Define data mappings, schemas, and API payloads for transaction screening, event streaming, and batch monitoring.
  • Develop and run user acceptance testing strategies and scripts, and coordinate defect triage before releases.

Requirements

  • Bachelor’s or master’s degree in computer science, management information systems, finance, business analytics, or a related field, or equivalent experience.
  • At least 6 years of progressive experience as an IT business analyst, systems analyst, or technical product owner.
  • At least 2–3 years focused on fraud detection, anti-money laundering, or payment risk in financial services or fintech.
  • Strong knowledge of Agile methods, including Scrum, Kanban, and SAFe, hybrid delivery, and the full software development life cycle.
  • Hands-on experience with established fraud detection and decisioning engines.
  • Proficiency with Jira, Confluence, diagramming software such as Microsoft Visio or Enterprise Architect, and API tools such as Postman or Swagger.
  • Preferred: 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™).

Benefits

  • Discretionary and formula-based incentive and retention awards
  • Medical, dental, and vision coverage
  • 401(k) plan
  • Life, accident, and disability insurance
  • Wellness programs
  • Planned vacation time off
  • Sick leave
  • Paid holidays

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