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Analyst, Fraud Intelligence
7 days agoWhat's your preference?
Job Description
- Req#: 5706799004
Employer Industry: Fraud Prevention and Data Analytics for E-commerce
Why consider this job opportunity:
- Salary up to $135,000 per year
- Opportunity for career advancement and growth within a rapidly expanding startup
- Flexible paid time off policy to support work-life balance
- Comprehensive medical, dental, and vision benefits
- Collaborative and supportive work environment with a diverse team
- Stock options in a fast-growing startup
What to Expect (Job Responsibilities):
- Analyze large-scale behavioral, transactional, and interaction data to identify signals of fraud and abuse
- Develop monitoring frameworks, dashboards, and mitigation solutions in response to emerging fraud threats
- Collaborate with cross-functional teams to influence fraud strategies and business cases
- Utilize strong business acumen to analyze fraud patterns and validate hypotheses
- Champion a culture of continuous learning and experimentation within the fraud and data science teams
What is Required (Qualifications):
- Minimum 2 years of experience in fraud analytics, preferably in an e-commerce or retail environment
- Bachelor's degree or higher in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Operations Research, or Physics
- Proficiency in SQL and experience with Python (pandas, NumPy, scikit-learn, etc.)
- Strong understanding of core data science and analytics concepts, including statistical analysis and data wrangling
- Exceptional communication and stakeholder management skills to work cross-functionally
How to Stand Out (Preferred Qualifications):
- Prior experience in a startup or high-growth environment
- Strong intellectual curiosity and attention to detail
- Empathetic and collaborative team player with a deep understanding of user behavior and fraud patterns
#FraudPrevention #DataAnalytics #Ecommerce #CareerOpportunity #StartupCulture
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