Tiger Analytics
Tiger Analytics
Tiger Analytics is an AI and analytics consulting firm that helps organizations turn complex data into practical business decisions. Its work spans data strategy, machine learning, AI engineering, and business intelligence, with a focus on embedding analytics into day-to-day operations and broader digital transformation programs. The firm works across industries including healthcare, logistics, marketing, consumer goods, and finance, drawing on cloud technologies and partnerships with providers such as Microsoft, Google Cloud, and AWS to develop and scale data-driven solutions.

Senior Manager, Financial Crime Compliance - Chicago Hybrid

Lead financial crime compliance consulting at Tiger Analytics, connecting banking compliance, risk, and engineering stakeholders. Translate AML requirements into monitoring designs, data mappings, and user acceptance testing plans.

Description

  • Lead discovery sessions with compliance, investigation, and risk teams to define monitoring scope and operating workflows
  • Prepare business requirements, functional specifications, user stories, and acceptance criteria
  • Compare current compliance operations with target platform capabilities to identify gaps
  • Review customer, account, and transaction data models from core banking platforms
  • Map source data fields to AML transaction-monitoring and screening engines
  • Investigate missing or corrupted historical data that could affect alert generation
  • Convert regulatory obligations and internal risk requirements into monitoring parameters and typology thresholds
  • Assess vendor modules against compliance requirements across applicable jurisdictions
  • Establish data standardization and cleansing rules
  • Coordinate alignment between technical data producers and business users
  • Develop test plans and realistic financial crime scenarios
  • Coordinate user acceptance testing with business stakeholders
  • Verify that monitoring scenarios generate appropriate alerts without excessive false positives
  • Resolve functional questions from developers, data engineers, and quality assurance teams
  • Record constraints, maintain project assumptions, and manage scope changes throughout the project lifecycle
  • Provide architects and developers with financial crime domain expertise

Requirements

  • 12 or more years of IT business analysis experience in banking or financial services
  • At least 3–7 years of AML, financial crime compliance, or KYC experience in a domain-focused role
  • Ability to connect program delivery with client business objectives and operational needs
  • Proactive approach to implementation and augmentation during modernization programs
  • Practical experience with Excel, SQL, business intelligence or visualization tools, and/or Python
  • Strong communication and stakeholder-management skills, including the ability to build engagement and advance compliance initiatives

Benefits

  • Substantial opportunities for professional growth
  • Work in a small, rapidly expanding, demanding, and entrepreneurial organization
  • High level of individual ownership and accountability
  • Equal employment opportunity and legal protections for all protected characteristics

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