Suncoast Credit Union

Senior Fraud Analyst


Pay$71000.00 - $117000.00 / year
LocationTampa/Florida
Employment typeFull-Time

This job is now closed

  • Job Description

      Req#: 4561
      Overview Compensation: $71,000 - $117,000 based on experience and credentials Schedule: Monday through Friday 8:00 AM – 5:00 PM Remote Opportunity The Senior Fraud Analyst is a vital part of Suncoast Credit Union’s fraud prevention and risk management initiatives to mitigate exposure to potentially fraudulent activities. This individual leverages state-of-the-art industry data science tools to synthesize and analyze data, create recommendations, and respond to fraud attacks. Key responsibilities include evaluating situational threats and threat trends, performing ongoing analytics, and presenting recommendations to senior leadership or the entire enterprise. An ideal candidate excels in a highly productive environment and manages multiple tasks to meet expected deadlines. Suncoast Credit Union is consistently chosen as a Top Workplace because its employees genuinely #LOVEWORK! Employees flourish in an inclusive culture celebrating growth and prioritizing the community. Chartered in 1934, Suncoast has never furloughed any employees. To attract the highest quality candidates, Suncoast Credit Union offers a comprehensive benefits package including, but not limited to: * COMPETITIVE MARKET SALARIES * MEDICAL COVERAGE * PAID TIME OFF * 11 PAID HOLIDAYS * PARENTAL LEAVE * RETIREMENT PLANNING * DEGREE ASSISTANCE * BONUS OPTIONS * ACCESS TO OVER 4,000 GYMS * FREE IDENTITY THEFT PROTECTION * PAID VOLUNTEER HOURS * LEGAL ASSISTANCE * MENTAL HEALTH RESOURCES * EMPLOYEE LOAN DISCOUNTS * Get the benefits you deserve from an organization that cares about your well-being, inside and outside the workplace. Join a team supporting a healthy body, healthy mind, and healthy work-life balance! 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 analytics experience, preferably with a financial institution 5+ years of Structured Query Language (SQL) and SSRS report writing 4+ years of experience with Business Intelligence tools such as PowerBI, Tableau, Qlik Fraud and AML experience preferred Experience with R/ Python (Pandas, NumPy, SciPy libraries), VBA, and shell scripting strongly preferred 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
      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 4+ years of experience with Business Intelligence tools such as PowerBI, Tableau, Qlik Fraud and AML experience preferred Experience with R/ Python (Pandas, NumPy, SciPy libraries), VBA, and shell scripting strongly preferred 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
      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
  • About the company

      We’re proud to be Florida's largest credit union, and we’re dedicated to serving members as well as the local community.

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