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Senior Fraud Analyst

Remote: 
Full Remote
Contract: 
Salary: 
71 - 117K yearly
Experience: 
Mid-level (2-5 years)
Work from: 
Florida (USA), United States

Offer summary

Qualifications:

Bachelor’s degree in related field, 6+ years data analytics experience, Strong statistical and analytical skills, Experience with SQL, Excel, BI tools.

Key responsabilities:

  • Develop executive key performance metrics
  • Utilize business intelligence for fraud reporting
  • Analyze fraud trends and recommend mitigation strategies
  • Implement prevention methods for fraudulent transactions
  • Create BI reporting for senior leadership
Suncoast Credit Union logo
Suncoast Credit Union Banking Large https://www.suncoastcreditunion.com/
1001 - 5000 Employees
See more Suncoast Credit Union offers

Job description

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Your missions

Overview

Pay Transparency: $71,000 - $117,000 based on experience and credentials

Location Type: Remote, candidate must reside in one of several remote hire locations

Schedule: Monday through Friday 8:00 AM – 5:00 PM

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.

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
  • 5+ years of advanced Excel experience
  • 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

Skills

  • Analytics
  • Data Science

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

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. Chartered in 1934, Suncoast has never furloughed any employees.

For more information, please visit our careers site at https://careers.suncoastcreditunion.com/

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Banking
Spoken language(s):
Check out the description to know which languages are mandatory.

Hard Skills

Soft Skills

  • Compassion
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