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sql python machine learning fraud detection dashboardsπ Description
- Own metrics, dashboards, and reports informing business strategy.
- Design and implement real-time monitoring systems for fraud signals and thresholds.
- Design and implement real-time risk controls using ML models (online/offline).
- Balance risk controls with customer experience to optimize loss savings and margins.
- Collaborate with GTM teams to demonstrate the value of risk controls to customers.
- Summarize analyses for leadership and non-technical stakeholders.
π― Requirements
- Advanced proficiency in SQL and Python.
- 3+ years in fraud risk, experiments (A/B tests), with real-time/offline ML models.
- Skilled at designing, building, and maintaining fraud risk dashboards.
- Ability to manage ambiguous problems and solve them.
- High autonomy with ability to prioritize workload.
- Quantitative degree (Statistics, Mathematics, Engineering, CS) required.
π Benefits
- Unlimited time off; minimum 10 days.
- Flexible work setup; home or office with stipend.
- Health, dental, and vision for you and dependents; company-sponsored life insurance.
- 401(k) with 4% company match.
- Equity option plan for all Rainmakers.
- Rain Cards for testing core products.
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