Senior Risk Prevention Analyst
New
J
JobgetherFinancial Services
Based in the United States, 10:00 PM to 7:00 AM Eastern TimeFull-TimeSenior
Salary67,700 - 86,300 USD per year
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Job Details
- Experience
- 7 years
- Required Skills
- SQLBusiness IntelligenceData Analysis
Requirements
- Bachelor’s degree in Business, Statistics, Mathematics, Computer Science, Engineering, Economics, or equivalent experience.
- At least 7 years of experience in the financial services industry.
- At least 7 years of professional experience in risk analytics, fraud mitigation, or fraud services.
- Hands-on experience with Fraud Detection Work Center (FDWC) and/or FDR systems.
- Advanced SQL skills for working with large, complex datasets.
- Strong expertise in fraud detection strategies, rules tuning, fraud modeling, and risk mitigation methodologies.
- Strong understanding of fraud metrics, forecasting techniques, and false-positive management.
- Ability to work independently, manage competing priorities, and respond to time-critical fraud events.
- Availability to work a fixed overnight schedule: Monday through Friday, 10:00 PM to 7:00 AM Eastern Time.
- Experience with fraud orchestration platforms like DefenseEdge, Falcon, or Fraud Navigator preferred.
- Strong knowledge of payments processing systems preferred.
- Experience with project management preferred.
Responsibilities
- Develop, implement, and optimize fraud prevention strategies using transaction data, advanced analytics, machine learning, and fraud detection technologies.
- Monitor assigned client portfolios, fraud trends, workflow performance, and risk exposure to identify emerging patterns.
- Analyze complex datasets and conduct root-cause analysis to strengthen fraud defenses and manage false positives.
- Serve as a fraud and risk subject matter expert, presenting analytical findings to colleagues, clients, and leadership.
- Resolve complex, time-sensitive escalations and make sound risk decisions during overnight operations.
- Create business intelligence reports and data visualizations to translate complex findings into actionable insights.
- Identify, integrate, and cleanse data from multiple sources to support fraud strategy development.
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