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fintech data analysis sql fraud detection experimentation📋 Description
- Set vision for fraud prevention balancing risk and user experience.
- Design and optimize fraud detection across product surfaces; define rules and thresholds.
- Build experimentation framework; run A/B tests with proper holdouts.
- Analyze large transaction data; identify patterns; define metrics.
- Partner with fraud strategists and data scientists to evaluate models and translate outputs to decisions.
- Own the customer experience; minimize friction from fraud controls.
🎯 Requirements
- 2–5+ years PM experience at tech or tech-forward firms.
- Deep data fluency; write queries and assess distributions.
- Experience optimizing systems in fraud, logistics, or risk.
- Understand experimentation and models; partner with data scientists.
- Obsessed with customer experience; balance protection and usability.
- Thinks in systems; connects strategy with execution; strong communicator.
🎁 Benefits
- Competitive base salary with cash/equity mix.
- Meaningful equity ownership.
- Short-term incentive plan (STIP) tied to KPIs.
- Flexible health benefits and life insurance.
- 21 days PTO plus holidays and personal leave.
- Health and personal spending accounts.
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