AML Data Analyst

Neo FinancialCalgary, AB
Onsite

About The Position

As an AML Data Analyst, you will bridge AML operations, data, and technical teams to support effective financial crime risk management. You will leverage data analysis, reporting, and system insights to improve detection strategies, ensure data integrity, and enable informed decision-making. Life at Neo, a rapidly scaling tech startup, is complex, fast-paced, and high-pressure, but also incredibly fulfilling. Neo is one of the fastest-growing fintech companies in Canada, recognized as #1 on Deloitte’s Technology Fast 50 for 2023, 2024, and 2025, and #1 Fastest Growing Company in Canada for 2024 by Globe & Mail.

Requirements

  • Strong SQL and data analysis skill; experience with BI tools (Looker, Tableau, PowerBI) helpful
  • Strong analytical and problem-solving skills
  • Ability to work cross-functionally and translate business to technical needs

Nice To Haves

  • Experience in AML, fraud, or financial crime analytics is a strong asset
  • Knowledge of AML/fraud concepts; Python and system experience are assets

Responsibilities

  • Analyze AML data to identify trends, anomalies, and risk patterns.
  • Support investigations and rule refinement through deep-dives into customer behavior and alert activity.
  • Support optimization of detection rules and workflows using data-driven insights.
  • Deliver ad hoc analysis for various AML functions.
  • Build and maintain dashboards tracking AML performance and risk metrics.
  • Monitor program effectiveness and ensure accurate, consistent reporting across systems.
  • Investigate and resolve data discrepancies across systems and pipelines.
  • Validate data outputs, reporting, and logic used by operational teams.
  • Support Data reconciliation across alerts, cases and transactions.
  • Partner with Product, Data, and Engineering teams on system enhancements and implementations.
  • Contribute to automation initiatives to improve efficiency and scalability.
  • Translate business needs into technical requirements and validation logic.
  • Support QA and testing for new rules, processes, and system changes.
  • Assist in validating rule outputs and operational workflows.

Benefits

  • equity participation for select roles
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