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United States
Alaska USA Federal Credit Union Hiring for Fraud Analyst I at Glendale, AZ Full Time
Overview:
Functions Supervised: None
Primary Functions: Perform qualitative and quantitative analysis of fraud-related data, systems, and processes. Develop fraud detection and decisioning strategies to mitigate the impact of fraud and implement in code. Balance fraud loss prevention, member experience, and operational efficiency in line with product strategies, enterprise financial plans, and the capacity of operational departments. Develop operational and performance reporting for fraud-related processes and systems. Execute the development, creation and implementation of fraud detection and prevention systems utilizing a proprietary programming/scripting language.
Duties and Responsibilities:
Creditable Experience in Lieu of Education: 4 years of experience in a comparable position in addition to experience/skills requirements below.
Experience/Skills: Demonstrated ability to learn at least basic skills in programming/scripting, statistics, organization of information systems, mathematical optimization, and machine learning. Ability to communicate clearly and concisely, both verbally and via written and visual reports. Ability to perform sound qualitative and quantitative analysis, exercise good judgment, and balance competing priorities effectively. Ability to manage the stress of the risk, uncertainty, and change inherent to fraud. Must be well organized, self-motivated, and eager to learn, and require minimal direct supervision. Capacity to work in a fast-paced and dynamic environment with a drive to deliver outstanding results.
Tenure: Assignment to the Fraud Analyst I category 10 or Fraud Analyst II category 09 will be determined by the candidate’s education and/or experience. Advancement requires management recommendation and will be based on the candidate’s experience and performance.
Equal Opportunity Employer
Reports to: Fraud Analytics Manager
Functions Supervised: None
Primary Functions: Perform qualitative and quantitative analysis of fraud-related data, systems, and processes. Develop fraud detection and decisioning strategies to mitigate the impact of fraud and implement in code. Balance fraud loss prevention, member experience, and operational efficiency in line with product strategies, enterprise financial plans, and the capacity of operational departments. Develop operational and performance reporting for fraud-related processes and systems. Execute the development, creation and implementation of fraud detection and prevention systems utilizing a proprietary programming/scripting language.
Duties and Responsibilities:
- Identify fraud-relevant data; collaborate with team members, vendors, and other departments to ensure collection, effective organization, and quality
- Analyze fraud-related datasets ranging from tens of thousands to hundreds of millions of records
- Perform deep dives into large or randomly-sampled fraud cases to determine what happened, perform annotation, and identify opportunities to improve systems or processes
- Develop a deep understanding of fraud detection, decision, and investigation systems in use by the Credit Union
- Maintain awareness of fraud-related best practices, methods, and technologies; present recommendations to promote optimal use and adoption
- Collaborate with team members, vendors, and other departments to identify fraud vulnerabilities, methods, and trends, and to coordinate fraud-related processes and strategies
- Develop, test, implement, and analyze strategies, models, and systems to detect, prevent, investigate, and mitigate the effects of fraud
- Research discrepancies, accumulate all necessary information and take appropriate action to stop and prevent fraud losses to the Credit Union
- Compile, and deliver operational and performance reports and key performance indicators
- Engage in and implement processes for the reissuance of compromised cards in large data breaches
- Report suspicious activity as required by the Bank Secrecy Act.
- Monitor activity, analyze data and implement changes for safe practice in online account opening
- Perform other duties as assigned
Qualifications:
Education: Bachelor’s Degree with a significant quantitative component.
Creditable Experience in Lieu of Education: 4 years of experience in a comparable position in addition to experience/skills requirements below.
Experience/Skills: Demonstrated ability to learn at least basic skills in programming/scripting, statistics, organization of information systems, mathematical optimization, and machine learning. Ability to communicate clearly and concisely, both verbally and via written and visual reports. Ability to perform sound qualitative and quantitative analysis, exercise good judgment, and balance competing priorities effectively. Ability to manage the stress of the risk, uncertainty, and change inherent to fraud. Must be well organized, self-motivated, and eager to learn, and require minimal direct supervision. Capacity to work in a fast-paced and dynamic environment with a drive to deliver outstanding results.
Tenure: Assignment to the Fraud Analyst I category 10 or Fraud Analyst II category 09 will be determined by the candidate’s education and/or experience. Advancement requires management recommendation and will be based on the candidate’s experience and performance.
Equal Opportunity Employer
