Related skills
data analysis analytics sql python fraud prevention📋 Description
- Monitor transactions and accounts to identify suspicious activity.
- Utilize fraud detection tools and SQL analyses to identify trends and patterns.
- Investigate suspected fraud, gather evidence, and document findings.
- Analyze large datasets using SQL and Python to find anomalies.
- Develop and implement fraud prevention rules and controls.
- Stay up-to-date with industry best practices and fraud threats.
🎯 Requirements
- Bachelor's degree in a relevant field (e.g., Economics, Computer Science, Analytics).
- Minimum 2 years in fraud detection, prevention, or investigation.
- Minimum 2 years experience with SQL and Python.
- Strong analytical and problem-solving skills with attention to detail.
- Understanding of common fraud typologies (account takeover, identity theft, etc.).
- Experience with fraud detection tools is a plus.
🎁 Benefits
- Remote-friendly culture with diverse, purpose-driven teams.
- Collaborative, growth-focused environment.
- Opportunity to work with fintech, payments, and risk teams.
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