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UAT Tester - AML Applications

  • Toronto, ON, Canada

$40 to $43 CAD / hour · Contract

This opening has closed.

The original listing is kept below for reference.

Job details

Pay
$40 to $43 CAD / hour
Job type
Contract
Closing date
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

  • The expected base salary range for this position is $40/Hr - $43/Hr, depending on experience, skills, and internal equity.
  • The Company offers a total rewards package in accordance with all applicable federal, provincial, and local laws and requirements.
  • Benefit eligibility and offerings vary based on role, employment status, and work location.
  • For contractor positions, benefits are limited to those entitlements and protections required by applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other legally mandated benefits or payments.
  • We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications.
  • These tools are used to enhance consistency and efficiency.
  • All hiring decisions involve human review and are not based solely on automated processing.

Mission:

  • Support the testing and successful delivery of bank's AML and financial crime applications by performing hands-on UAT/QA testing across backend systems, data flows, and application functionality.
  • The consultant will be responsible for validating that application functionality and underlying data behave as expected across AML, STR, CTR, and related financial crime processes.
  • The ideal candidate can quickly understand the application and business process through knowledge transfer, then independently own testing activities, identify issues, and ensure project milestones are met.

Day-to-Day:

  • Execute UAT and QA testing across AML, STR, CTR, and related financial crime applications.
  • Perform significant backend and data-focused testing, not solely front-end/UI validation.
  • Use SQL to query databases, validate records, reconcile data, and investigate discrepancies.
  • Work with Databricks to review, analyze, and validate data used throughout the application.
  • Use Python where required to support testing, validation, or data analysis.
  • Create, execute, and maintain test cases, test scenarios, test plans, and test evidence.
  • Perform basic UI testing to validate end-to-end application functionality.
  • Understand upstream/downstream application dependencies and business processes impacting testing.
  • Participate in knowledge-transfer sessions and become independently productive quickly.
  • Investigate defects and determine whether issues originate from data, application logic, integrations, or other components.
  • Document defects clearly and work with developers, BAs, QA teams, and business stakeholders through resolution.
  • Immediately identify and escalate critical or blocking defects that could impact delivery.
  • Track testing progress against project milestones, timelines, and deliverables.
  • Follow bank’s PINO project process/framework and established QA/UAT governance.
  • Proactively ask questions, challenge unclear requirements, and identify risks before they become delivery issues.

Must Haves:

  • Strong hands-on QA/UAT testing experience within AML, STR, CTR, financial crime, or closely related banking applications.
  • Strong understanding of backend testing and data validation.
  • Advanced hands-on SQL skills, including querying and validating large datasets.
  • Experience working with Databricks.
  • Working knowledge of Python.

Strong understanding of QA/UAT fundamentals including:

  • Test cases
  • Test scenarios
  • Test plans
  • Defect management
  • Test execution and documentation
  • Experience testing applications from an end-to-end business and technical perspective.
  • Ability to quickly understand an application and its underlying business processes following knowledge transfer.
  • Demonstrated ability to work independently with limited supervision.
  • Strong problem-solving skills and willingness to proactively ask questions when requirements or results do not make sense.
  • Ability to recognize and immediately escalate critical/blocking issues.
  • Strong ownership of milestones, deliverables, and timelines.

Plusses:

  • Previous experience working directly within Canadian banking.
  • Experience testing multiple interconnected AML or financial crime applications.
  • Strong understanding of STR (Suspicious Transaction Reporting) and CTR (Cash Transaction Reporting) processes.
  • Experience working with large-scale banking datasets and performing complex reconciliation.
More about this job

Responsibilities

Execute UAT and QA testing for AML, STR, CTR, and related financial crime applications, with emphasis on backend systems, SQL-based data validation, Databricks, and end-to-end functionality. Create and maintain test documentation, investigate and escalate defects, collaborate with technical and business teams, and track testing against project milestones and governance requirements.

Requirements

Requires hands-on QA/UAT experience in AML, financial crime, or related banking applications, advanced SQL, Databricks experience, working knowledge of Python, and strong backend data-testing skills. Candidates should be able to work independently, understand business processes quickly, manage defects and deliverables, and proactively identify and escalate risks.

Skills

  • AML UAT/QA Testing
  • SQL
  • Databricks
  • Python
  • Backend Testing
  • Data Validation
  • Test Case Development
  • Test Planning
  • Defect Management
  • End-to-End Testing
  • Data Reconciliation
  • Financial Crime Applications
  • STR and CTR Processes
  • Root Cause Investigation
  • Stakeholder Collaboration
  • Project Milestone Tracking

Visa sponsorship

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Categories

  • Technology
  • Data & Analytics
  • Finance & Accounting
  • Software

Keywords

  • AML
  • UAT
  • QA
  • SQL
  • Databricks
  • Python
  • STR
  • CTR
  • Financial Crime
  • Backend Testing
  • Data Validation
  • Data Reconciliation
  • Test Cases
  • Test Scenarios
  • Test Plans
  • Test Evidence
  • Defect Management
  • End-to-End Testing
  • Application Dependencies
  • Data Analysis
  • Root Cause Analysis
  • Banking
  • PINO Project Framework
  • QA/UAT Governance
  • Large-Scale Datasets

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