Related skills
analytics sql python machine learning dashboards📋 Description
- Proactively explore data to accelerate Trust & Safety product development.
- Run online experiments to optimize onboarding and conversions.
- Translate analyses into actions to improve identity/fraud conversion.
- Build scalable frameworks for tiered fraud ML model cutoffs.
- Evaluate data sources and maintain core data pipelines for analytics.
- Own end-to-end analytics: metrics, dashboards, and reporting.
🎯 Requirements
- Experience: 2-4 years in customer risk management at payments/financial firms.
- Technical Skills: SQL and Python.
- People Skills: Team player with cross-team collaboration.
- Communication: Clear findings to technical and non-technical audiences.
- Product Knowledge: Understand the product and how to improve it.
- Multitasking: Strong time management across multiple projects.
- Education: Bachelor's or Master's in quantitative field desired.
- Risk Knowledge: Fundamentals of payment processing and risk trends.
🎁 Benefits
- Base pay range: $109,000 - $159,000 per year.
- Equity rewards and ESPP.
- Health coverage for you and dependents.
- Flexible stipends for tech, food, lifestyle and family needs.
- Remote-first with flexible office options.
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