Senior Fraud Data Analyst

Overview

Remote
$90,000 - $110,000
Full Time

Skills

Fraud
Python
SQL
Reporting
Data Analysis
Analytical Skill

Job Details

The Senior Fraud Analyst participates actively in the Credit union s fraud prevention and risk management activities to mitigate both the credit union and our members exposure to potentially fraudulent activities. The position is responsible for evaluating member and situational/threat trends by channel, as well as cross-channel. Performs ongoing analytics and prepares recommendations which are presented to first line VP s and SVP s enterprise wide. The senior analyst leverages state-of-the-art industry data sciences tools to synthesize and analyze data; create recommendations and respond to fraud attacks. In addition, Senior fraud analysts will also help develop new fraud risk reporting utilizing business intelligence.

Responsibilities

  • Develop and produce executive key performance metrics to report to senior management and enterprise risk team
  • Utilize business intelligence to develop new methods for fraud risk reporting
  • Develop analytics and make recommendations for enterprise fraud strategies to minimize fraud loss
  • Assess fraud trends and provide real-time recommendations to mitigate potential fraud for the credit union and its members.
  • Perform complex analysis and modeling to identify patterns of fraudulent transactions and create prevention methods
  • Create, test, and implement rule criteria in applicable detection systems (FIS, Falcon, Verafin, Alloy etc.)
  • Balance fraud prevention recommendations with member experience considerations
  • Analyze loss data to recommend and implement appropriate loss prevention strategies
  • Evaluate fraud cases and losses holistically to identify areas of improvement
  • Create and deliver BI reporting to develop thorough reporting for senior leadership, boards, and examiners
  • Maintain knowledge and understanding of current trends, laws, and issues affecting the area of expertise
  • Attend educational events to increase professional knowledge

Qualifications

  • Bachelor s degree in business administration, finance, computer science, risk management, or a related field (A comparable combination of work experience and training may be substituted for education requirements)
  • 6+ years of data analysis experience, preferably with a financial institution
  • 5+ years of Structured Query Language (SQL), Python, Spark, R, and SSRS report writing required
  • 4+ years of experience with Business Intelligence tools such as PowerBI, Tableau, Qlik required
  • 4+ years in fraud analytics required
  • Strong knowledge of descriptive and predictive statistical tools
  • Excellent verbal, written, and interpersonal communication skills to effectively communicate with team members and external stakeholders
  • Excellent presentation skills to communicate complex results to business audiences not familiar with data and analytics
  • Ability to prioritize tasks, deal effectively with competing and changing priorities to meet deadlines
  • Accurate, detail-oriented, and organized with task management
  • Strong analytical and problem-solving skills with the ability to interpret large amounts of data

Skills

  • AI & Machine Learning
  • Analytics
  • Data Science
  • Project Management
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