Senior Fraud Data Analyst Position Available In Hillsborough, Florida

Senior Fraud Data Analyst
6536 E Hillsborough Ave, Tampa, Florida, US, 33610
Risk/Fraud
6025
05/13/2025
Job Description
Overview

Compensation:

$75,000 – $115,000

Location Type:

Remote

Position Type:

Full Time 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
Benefits

Financial Well-Being:

Bonus Program up to 12%, 401K Matching up to 8%, Retirement Planning, Pay Increases based on Competency, Employee Loan Discounts, Flex Spending Accounts

Wellness:

Medical Coverage, Dental and Vision Coverage, Access to 4,000+ Gyms, Mental Health Resources, PTO Wellness Days, Short Term and Long Term Disability Coverage

Work-Life Balance:

11 Paid Holidays, 3 weeks of Paid Time Off, 4 weeks of Paid Parental Leave, Birthday PTO

Community Involvement:

Paid Volunteer Hours

Growth:

Degree Assistance up to $5,000 per year
For more information, including additional benefits, please visit our benefits website at Company Overview
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