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Fraud Analytics Specialist
2 months ago
Position Overview:
Compensation Transparency: $66,000 - $97,000 based on experience and qualifications
Work Arrangement: Remote
Employment Type: Full Time
Working Hours: Monday to Friday, 8:00 AM to 5:00 PM
The Fraud Analytics Specialist is tasked with the comprehensive collection, analysis, and evaluation of data pertaining to fraudulent activities. By meticulously identifying and gathering relevant data, this role will produce insightful reports aimed at uncovering fraud patterns and formulating data-driven strategies to mitigate emerging risks. The effectiveness of implemented solutions will be continuously assessed for quality and performance, with necessary adjustments made while remaining vigilant for new trends and threats. The ideal candidate will demonstrate proficiency in collecting and interpreting raw data, transforming it into clear visualizations and actionable insights. While a background in fraud prevention tactics is advantageous, it is not mandatory. This role will collaborate closely with the Manager of Data Sciences.
Key Responsibilities:
- Utilize data to generate reports, visualizations, and dashboards that uncover the underlying causes of recurring fraudulent transactions (including scenario analysis, historical data review, incident case studies, and monthly summaries).
- Assist in the development of key performance indicators (KPIs) and their tracking, trending, and analysis.
- Employ KPIs to gather and document business reporting requirements, and to design, test, and implement necessary reporting solutions.
- Analyze, validate, and test results to produce reports and dashboards, addressing inquiries regarding data accuracy.
- Monitor online banking activities to identify potential account takeovers within the existing portfolio.
- Focus on alerts generated by risk analytics to detect large-scale attacks utilizing big data.
- Oversee, maintain, and enhance performance reports and alerts.
- Evaluate existing credit union tools aimed at identifying risk-related losses.
- Recommend and assist in the implementation and adjustment of tool parameters in response to dynamic threats.
- Generate and automate reports centered on transaction analysis and detection.
- Support the transition from automatic detection to automatic account flagging.
- Contribute to a positive, efficient, and professional team environment within the Risk Management sector.
- Stay informed about current trends, regulations, and issues impacting the field of expertise.
- Participate in educational events to enhance professional knowledge.
Qualifications:
- Bachelor's degree in business administration, finance, computer science, risk management, or a related discipline (A comparable combination of work experience and training may be accepted in lieu of educational requirements).
- 4+ years of experience in data analysis, preferably within a financial institution.
- Familiarity with Business Intelligence tools such as PowerBI, Tableau, or Qlik.
- Proficient in Structured Query Language (SQL) and SSRS report generation.
- Strong analytical and quantitative abilities, including root cause and trend analysis.
- Effective verbal, written, and interpersonal communication skills to engage with team members and external stakeholders.
- Good presentation skills to convey complex findings to business audiences unfamiliar with data analytics.
- Ability to prioritize tasks and manage competing priorities to meet deadlines.
- Detail-oriented and organized with strong task management skills.
- Robust analytical and problem-solving capabilities with the ability to interpret extensive data sets.
Desired Skills:
- AI & Machine Learning
- 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 Opportunities: Degree Assistance up to $5,000 per year.
- Flexibility: Remote, Hybrid, and Onsite Schedules.
- Security: Pet Insurance, Free Identity Theft Protection, Legal Assistance.
For further details, including additional benefits, please visit our benefits website.
Company Overview:
Suncoast Credit Union is consistently recognized as a Top Workplace by the Tampa Bay Times, as its employees genuinely embrace a culture of growth and community engagement. Established in 1934, Suncoast has maintained a commitment to its workforce, never having furloughed any employees.
For more information, please visit our careers site.