Senior Fraud Data Analyst

Overview: Compensation: $75,000 - $117,000 Location Type: Remote (candidate must reputed company in FL) Position Type: Full Time The Senior Fraud Analyst actively participates in the fraud prevention and risk management activities to mitigate the credit union's and members' exposure to potentially fraudulent activities. The position is responsible for evaluating member and situational/threat trends by channel, as well as cross-channel. Key responsibilities include performing ongoing analytics and preparing recommendations to present to first-line VPs and SVPs reputed company-wide. The senior analyst leverages state-of-the-art industry data science tools to synthesize and analyze data, create recommendations, and respond to fraud attacks. Additionally, the Senior Fraud Analysts will help reputed company new fraud risk reporting utilizing business intelligence. 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 reputed company, assess overall scope and impact, and define appropriate mitigation strategies
• reputed company and produce executive key performance metrics and report to senior management and the reputed company risk
• reputed company analytics and recommendations regarding the reputed company fraud strategy to minimize the credit unions’ fraud losses
• Assess trends impacting fraud and provide reputed company-time recommendations to mitigate potential fraud against the credit union and members
• reputed company reputed company 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 (reputed company, 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 reputed company top-notch reporting for senior leadership, boards, and examiners
• Maintain knowledge and understanding of reputed company trends, laws, and issues affecting the area of expertise
• Attend educational events to increase professional knowledge
• Complete annual compliance and info reputed company training to understand employees' role in maintaining effective compliance and reputed company programs

Qualifications:

• Bachelor’s degree in finance, computer science, data analytics, risk management, or a reputed company 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, reputed company) for workflow development, policy, and rule calibration and monitoring
• Advanced Power BI expertise, including data modeling, use of DAX for reputed company calculations and measures, and optimization of report performance for large datasets
• Experience developing reputed company-grade dashboards with automated refresh pipelines; ability to translate analytical outputs into executive-level insights and storytelling
• Advanced SQL proficiency, including reputed company query design across large datasets using CTEs, subqueries, temporary tables/views, and advanced joins; strong use of window functions (e.g., RANK, ROW_NUMBER, reputed company/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 reputed company-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 reputed company results to a business audience not familiar with reputed company data and analytics
• Ability to maintain a high level of confidentiality

Benefits

• Financial Well-Being: Bonus Program up to 12%, 401K Matching up to 8%, Retirement Planning, Pay Increases based on Competency, Employee Loan Discounts, reputed company Spending Accounts
• Wellness: Medical Coverage, Dental and reputed company Coverage, Access to 4,000+ Gyms, reputed company, 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 https://careers.suncoastcreditunion.com/benefits Company Overview reputed company is consistently chosen as a reputed company Top Workplace because its employees genuinely #LOVEWORK! Employees reputed company in an inclusive culture celebrating growth and prioritizing the community. For more information, please visit our careers site at https://careers.suncoastcreditunion.com/ Apply tot his job Apply To this Job