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Fraud Strategy Analyst – Money Movement

Job in Surprise, Maricopa County, Arizona, 85379, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-08-02
Job specializations:
  • Finance & Banking
    Data Scientist
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
  • Serves as an expert in at least one area of focus within Financial Crimes space to develop solutions for complex problems that align with the business's strategic direction and objectives
  • Actively participates in and may take ownership of analyses or business strategy initiatives using innovative/quantitative analytical approaches
  • Extract insights from moderately complex data sets to design solutions within the Financial Crimes space through a range of data preparation, modeling, and visualization techniques, including predictive analysis, pattern recognition and/or Machine Learning
  • Utilizes association rule learning, cluster analysis, anomaly detection, data analysis and visualization (e.g., PowerBI, Tableau), and object-oriented programming (Python, SAS) to identify trends from existing data reports and recommends strategies/analysis that should be performed to mitigate risks
  • Consults with the business to understand the business direction, environment and strategies for supported domains/clients; gathers requirements to recommend solutions
  • Advocates for self and teammates to encourage the growth of direct and indirect peers toward continual technical and soft skill progression
  • Serves as a resource for mathematical skills, business product knowledge, and/or Financial Crimes knowledge
  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures
Requirements
  • Bachelor's degree; OR 4 years of relevant education and/or experience
  • 4 years of experience in financial crimes supporting and participating in stakeholder consultation, needs assessment, requirement translation and prescription of technology solutions
  • Previous experience gathering business requirements and applying business rules to recommend technology solutions
  • Demonstrated experience using fraud rules management to reduce or mitigate loss and fraud exposures
  • Knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems
  • Knowledge of bank laws and regulations related to money movement and /or payments, including but not limited to Reg E, Reg CC, UDAAP, FACTA and Reg Z
  • Strong written and verbal communication skills, with demonstrated ability synthesizing data and clearly reporting findings.
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