Related skills
risk management looker data analysis sql pythonπ Description
- Design and lead end-to-end fraud prevention and detection strategies.
- Analyze large datasets to identify emerging fraud trends.
- Monitor system performance; measure risk metrics; reduce false positives.
- Collaborate with data science, risk ops, product, eng, and support.
- Oversee projects to advance detection systems and processes.
- Deliver reports on fraud risk exposure and control effectiveness.
π― Requirements
- 5+ years in fraud strategy, program management, or risk roles.
- Proficient in SQL, Python, Looker, and data analysis/visualization tools.
- Hands-on experience with fraud detection/monitoring platforms; identify patterns.
- Strong verbal, written, and interpersonal skills to convey complex ideas.
- Cross-functional teamwork with product, engineering, operations, and compliance.
- Able to make data-driven decisions in ambiguous, fast-changing environments.
π Benefits
- Competitive starting pay
- Discretionary annual bonus
- Long-term equity grant
- Comprehensive health plans
- 401K with company matching
- Paid Parental Leave
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