Note: The job is a remote job and is open to candidates in USA. Suncoast Credit Union is a financial institution seeking a Senior Fraud Data Analyst to support fraud prevention and risk management. The role analyzes fraud trends, develops mitigation strategies and detection rules, and creates business intelligence reporting and executive metrics to reduce losses while balancing member experience.
Responsibilities
- Demonstrate end-to-end ownership of fraud analytics, including data modeling, visualization, and reporting, translating insights into actionable strategies and rule development
- Conduct comprehensive analyses to identify fraud trends and emerging threat vectors, assess overall scope and impact, and define appropriate mitigation strategies
- Develop and produce executive key performance metrics and report to senior management and the enterprise risk
- Develop analytics and recommendations regarding the enterprise fraud strategy to minimize the credit unions’ fraud losses
- Assess trends impacting fraud and provide real-time recommendations to mitigate potential fraud against the credit union and members
- Perform complex analysis and/or modeling to identify patterns of fraudulent transactions and to prevent fraudulent transactions
- 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 and recommend/implement appropriate loss prevention strategies
- Evaluate fraud cases and losses holistically to identify potential trends and areas of improvement
- Create and deliver BI reporting to develop top-notch 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
- Complete annual compliance and info security training to understand employees' role in maintaining effective compliance and security programs
Skills
- Bachelor's degree in finance, computer science, data analytics, risk management, or a related field (A comparable combination of work experience and training may be substituted for education requirements.)
- Minimum of 6 years of experience in data analysis, fraud strategy, and rule writing, preferably with a financial institution
- Minimum of 4 years of experience with Business Intelligence tools such as Power BI, Tableau, and Qlik, including Structured Query Language (SQL) and SSRS report writing
- Familiarity with fraud detection platforms and vendor collaboration (e.g., Alloy, Verafin, Visa) for workflow development, policy, and rule calibration and monitoring
- Advanced Power BI expertise, including data modeling, use of DAX for complex calculations and measures, and optimization of report performance for large datasets
- Experience developing enterprise-grade dashboards with automated refresh pipelines; ability to translate analytical outputs into executive-level insights and storytelling
- Advanced SQL proficiency, including complex query design across large datasets using CTEs, subqueries, temporary tables/views, and advanced joins; strong use of window functions (e.g., RANK, ROW\_NUMBER, LEAD/LAG), and aggregations, with ability to optimize queries for performance and scalability
- Experience designing and maintaining scalable data pipelines and views in SQL to support reporting, including data validation, reconciliation logic, and governance of source-to-report transformations
- Demonstrated ability to integrate SQL-based data sources with Power BI, including DirectQuery/Import models, incremental refresh strategies, and governance of semantic layers to ensure consistency across reporting assets
- Excellent analytical and quantitative skills, including root cause and trend analysis
- Ability to effectively communicate complex results to a business audience not familiar with complex data and analytics
- Ability to maintain a high level of confidentiality
Benefits
- Bonus Program up to 12%
- 401K Matching up to 8%
- Retirement Planning
- Pay Increases based on Competency
- Employee Loan Discounts
- Flex Spending Accounts
- Medical Coverage
- Dental and Vision Coverage
- Access to 4,000+ Gyms
- Mental Health Resources
- PTO Wellness Days
- Short Term and Long Term Disability Coverage
- 11 Paid Holidays
- 3 weeks of Paid Time Off
- 4 weeks of Paid Parental Leave
- Birthday PTO
- Paid Volunteer Hours
- Degree Assistance up to $5,000 per year
Company Overview
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