Location: San Francisco, CA, US
Job Summary:
Job Duties:
- Develop data-driven fraud detection strategies.
- Analyze fraud patterns and risk trends.
- Collaborate across teams to align fraud prevention initiatives.
- Conduct comprehensive cost-benefit analyses.
- Design cross-product fraud monitoring flows.
- Enhance account takeover (ATO) detection.
- Evaluate third-party vendors for fraud detection capabilities.
- Monitor and refine risk strategies continuously.
Required Skills:
- Data analysis, Python, R, SQL.
- Fraud detection methodologies.
- Data-driven decision-making.
- Cross-functional collaboration.
Required Experiences:
- 8+ years in data science and analytics.
- Knowledge of fraud risks in financial technology.
- Bachelor's/Master's degree in relevant fields.
Job URLs: