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Transaction Risk Platform & Strategy Analyst – Consumer and Small Business Credit

Job in Tempe, Maricopa County, Arizona, 85285, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Perform User Acceptance Testing (UAT) and regression testing for Transaction Risk Monitoring platforms and rules engines to ensure accuracy, stability, and alignment with business requirements
  • Validate rule logic, data inputs, and system outputs to confirm end-to-end integrity of risk decisioning
  • Identify, document, and help resolve defects, inconsistencies, or gaps in system behavior
  • Partner closely with technology teams to support platform enhancements, releases, and ongoing system performance
  • Contribute to the continuous improvement of testing frameworks and processes, with a focus on scalability and efficiency
  • Identify and help implement opportunities to automate testing, monitoring, and control processes, reducing manual effort and improving consistency
  • Support the development of repeatable, scalable testing and validation frameworks
  • Contribute to broader process transformation initiatives, leveraging technology to improve speed, quality, and control
  • Support the implementation and execution of transaction risk rules and strategies, ensuring accurate deployment within monitoring platforms
Requirements
  • Demonstrated analytical mindset with strong attention to detail and problem-solving ability
  • Experience and proficiency working with data, systems, or testing environments
  • Experience and proficiency working with tools such as SQL, Python, SAS, or similar is highly desirable
  • Proven experience and demonstrated success in automation, scripting, and process optimization
  • Strong interest in technology platforms, rules engines, and system-driven decisioning
  • Bachelor’s degree in a quantitative or technical field such as mathematics, statistics, computer science, engineering, economics, or finance (or equivalent practical experience)
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