[Remote] Senior Fraud Data Analyst

Note: The job is a remote job and is open to candidates in USA. Suncoast Credit Union is a recognized workplace in Tampa Bay, committed to fostering an inclusive culture that prioritizes community and employee growth. They are seeking a Senior Fraud Data Analyst to lead fraud prevention and risk management efforts, utilizing data science tools to analyze trends and develop actionable strategies to mitigate fraud risks.

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