Senior Fraud Data Analyst

Suncoast Credit Union; Tampa (FL); Remote; USD 75,000 - 115,000; Full time

Job summary

Suncoast Credit Union is seeking a Senior Fraud Analyst who will play a key role in fraud prevention and risk management. This position requires deep analytical skills to evaluate fraud trends across channels and provide actionable recommendations. Ideal candidates have extensive experience in data analysis and fraud risk reporting using advanced business intelligence tools.

Benefits

Bonus Program up to 12%

401K Matching up to 8%

Medical, Dental, and Vision Coverage

3 weeks of Paid Time Off

Access to 4,000+ Gyms

Degree Assistance up to $5,000 per year

Qualifications

• 6+ years of data analysis experience, preferably with a financial institution.
• 5+ years of SQL, Python, Spark, R, and SSRS report writing required.
• 4+ years in fraud analytics required.

Responsibilities

• Develop and produce executive key performance metrics.
• Assess fraud trends and provide recommendations to mitigate potential fraud.
• Perform complex analysis and modeling to identify patterns of fraudulent transactions.

Skills

AI & Machine Learning

Analytics

Data Science

Project Management

Education

Bachelor’s degree in business administration, finance, computer science, risk management, or a related field

Tools

SQL

Python

R

Spark

SSRS

PowerBI

Tableau

Qlik

Job description

Overview

Compensation: $75,000 - $115,000

Location Type: Remote

Position Type: Full Time

The Senior Fraud Analyst participates actively in the Credit union’s fraud prevention and risk management activities to mitigate both the credit union and our members exposure to potentially fraudulent activities. The position is responsible for evaluating member and situational/threat trends by channel, as well as cross-channel. Performs ongoing analytics and prepares recommendations which are presented to first line VP’s and SVP’s enterprise wide. The senior analyst leverages state-of-the-art industry data sciences tools to synthesize and analyze data; create recommendations and respond to fraud attacks. In addition, Senior fraud analysts will also help develop new fraud risk reporting utilizing business intelligence.

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 analysis experience, preferably with a financial institution
• 5+ years of Structured Query Language (SQL), Python, Spark, R, and SSRS report writing required
• 4+ years of experience with Business Intelligence tools such as PowerBI, Tableau, Qlik required
• 4+ years in fraud analytics required
• 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

Skills

• AI & Machine Learning
  
• Analytics
  
• Data Science
  
• P roject Management

Benefits

• Financial Well-Being: Bonus Program up to 12%, 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

For more information, including additional benefits, please visit our benefits website at https://careers.suncoastcreditunion.com/benefits

Company Overview

Suncoast Credit Union is consistently chosen as a Tampa Bay Times Top Workplace because its employees genuinely #LOVEWORK! Employees flourish in an inclusive culture celebrating growth and prioritizing the community.
For more information, please visit our careers site at https://careers.suncoastcreditunion.com/

• 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 analysis experience, preferably with a financial institution
• 5+ years of Structured Query Language (SQL), Python, Spark, R, and SSRS report writing required
• 4+ years of experience with Business Intelligence tools such as PowerBI, Tableau, Qlik required
• 4+ years in fraud analytics required
• 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

Skills

• AI & Machine Learning
  
• Analytics
  
• Data Science
  
• P roject Management

Benefits

• Financial Well-Being: Bonus Program up to 12%, 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

For more information, including additional benefits, please visit our benefits website at https://careers.suncoastcreditunion.com/benefits

Company Overview

Suncoast Credit Union is consistently chosen as a Tampa Bay Times Top Workplace because its employees genuinely #LOVEWORK! Employees flourish in an inclusive culture celebrating growth and prioritizing the community.
For more information, please visit our careers site at https://careers.suncoastcreditunion.com/

• 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