Related skills
sql python tableau data visualization machine learning📋 Description
- Develop and track metrics to measure risk product performance.
- Conduct in-depth analyses to uncover fraud-reducing insights.
- Translate complex data insights into clear client recommendations.
- Build and experiment with ML models to detect fraud patterns.
- Work with engineers on data instrumentation.
- Create and automate self-serve dashboards using BI tools.
🎯 Requirements
- 7+ years in data-focused roles (analytics, data science).
- Fraud/Risk domain experience.
- Hands-on SQL and Python.
- BI tools: Tableau, Sigma, Metabase.
- Exposure to ML models addressing business challenges.
- Ability to structure/analyze data (EDA/cohort) and communicate insights.
🎁 Benefits
- Generous cash and equity compensation.
- Remote-first culture.
- Flexible PTO and Year-end break.
- MacBook Pro delivered to your door.
- Home office stipend.
- Monthly meal stipend.
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