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Senior Fraud Data Analyst

2 months ago


Tampa, Florida, United States Suncoast Credit Union Full time
About the Role

Suncoast Credit Union is seeking a highly skilled Senior Fraud Data Analyst to join our team. As a key member of our fraud prevention and risk management initiatives, you will play a vital role in mitigating exposure to potentially fraudulent activities.

Key Responsibilities
  • Evaluate Situational Threats and Trends: Assess and analyze data to identify potential fraud risks and develop strategies to mitigate them.
  • Perform Ongoing Analytics: Utilize business intelligence tools to develop new methods for fraud risk reporting and create recommendations for enterprise fraud strategies.
  • Present Recommendations to Senior Leadership: Effectively communicate complex results to business audiences and present recommendations to senior leadership or the entire enterprise.
  • Develop and Produce Executive Key Performance Metrics: Report to senior management and the enterprise risk team on key performance metrics.
  • Utilize Business Intelligence to Develop New Methods: Leverage business intelligence tools to develop new methods for fraud risk reporting and create recommendations for enterprise fraud strategies.
  • Develop Analytics and Make Recommendations: Develop analytics and make recommendations for enterprise fraud strategies to minimize fraud loss.
  • Assess Fraud Trends and Provide Real-Time Recommendations: Assess fraud trends and provide real-time recommendations to mitigate potential fraud for the credit union and its members.
  • Perform Complex Analysis and Modeling: Identify patterns of fraudulent transactions and create prevention methods.
  • Create, Test, and Implement Rule Criteria: Develop and implement rule criteria in applicable detection systems.
  • Balance Fraud Prevention Recommendations with Member Experience: Balance fraud prevention recommendations with member experience considerations.
  • Analyze Loss Data and Recommend Strategies: Analyze loss data to recommend and implement appropriate loss prevention strategies.
  • Evaluate Fraud Cases and Losses: Evaluate fraud cases and losses holistically to identify areas of improvement.
  • Create and Deliver BI Reporting: Develop thorough reporting for senior leadership, boards, and examiners.
  • Maintain Knowledge and Understanding: Maintain knowledge and understanding of current trends, laws, and issues affecting the area of expertise.
  • Attend Educational Events: 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 Analytics Experience: Preferably with a financial institution.
  • 5+ Years of Structured Query Language (SQL) and SSRS Report Writing: Experience with R/ Python (Pandas, NumPy, SciPy libraries), VBA, and shell scripting strongly preferred.
  • 5+ Years of Advanced Excel Experience: Strong knowledge of descriptive and predictive statistical tools.
  • 4+ Years of Experience with Business Intelligence Tools: Such as PowerBI, Tableau, Qlik.
  • Fraud and AML Experience: Preferred.
  • 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 and 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.
Benefits
  • Financial Well-Being: Bonus Program up to 9%, 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.
  • Flexibility: Remote, Hybrid, and Onsite Schedules.
  • Security: Pet Insurance, Free Identity Theft Protection, Legal Assistance.