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Tiger Analytics

Delivers Data and AI transformation

Senior Manager / Associate Director - Financial Crime Compliance

Risk, Regulatory & Legal AdvisoryConfirmed live in the last 24 hours
Full-timeChicago, IL, USANo salary listed

About the Job

Requirements

  • 12+ years of experience in IT as a Business Analyst in the banking or financial domain.
  • 3–7+ years of experience in AML, financial crime compliance, or know-your-customer work for a domain-heavy role.
  • Ability to think from the client's business standpoint and align program execution with business outcomes or needs.
  • Ability to proactively identify effective approaches for implementation or augmentation during modernization initiatives.
  • Working familiarity with analytical tools such as Excel, SQL, business intelligence or visualization tools, and/or Python.
  • Ability to communicate with and manage multiple stakeholders, assertively gaining their attention and driving compliance.

Responsibilities

  • Lead discovery sessions with compliance teams, investigators, and risk leads to define monitoring scopes and operational workflows.
  • Create business requirements documents, functional specification documents, user stories, and acceptance criteria.
  • Perform gap analysis by comparing current compliance operations with target platform capabilities and highlighting missing elements.
  • Inspect customer, account, and transaction data models from core banking systems and define how source data fields map into the anti-money-laundering transaction monitoring or screening engine.
  • Run data discovery tasks to identify missing or corrupt historical data fields needed for effective alert generation.
  • Translate regulatory rules or internal risk mandates into transaction monitoring parameters or typology thresholds.
  • Help evaluate vendor product modules against local jurisdictional compliance requirements, including defining standardization and cleansing rules.
  • Facilitate alignment between technical producers and business consumers.
  • Build test plans, create realistic financial crime test cases, and manage user acceptance testing with business stakeholders.
  • Confirm that monitoring scenarios trigger alerts correctly under test conditions without producing unmanageable false-positive spikes.
  • Answer functional questions from software developers, data engineers, and quality assurance teams during the build phase.
  • Document constraints, track project assumptions, and manage scope adjustments throughout the project life cycle.
  • Assist architects and developers in discussions by providing domain knowledge.

About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Jose, CA
Founded
2010

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