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golang mongodb redis postgres python📋 Description
- Own critical risk outcomes across CDP payments, balancing risk and UX.
- Design and scale real-time risk infrastructure for cross-border payouts.
- Build risk decisioning: policy engines, ML models, real-time scoring.
- Architect high-throughput data pipelines (batch/streaming) for risk.
- Develop detection: ML, graph analytics, anomaly/agentic AI.
- Lead risk/fraud/AI innovation and ship production systems.
🎯 Requirements
- 3+ years of software engineering experience.
- Real-time risk/fraud detection systems at scale.
- Production services in a service-oriented architecture.
- Experience with payment risk: chargebacks, unauthorized transactions, account takeover.
- Rules engines and/or ML-based risk scoring (feature engineering, model serving, decisioning).
- Cross-border payments and multi-currency/multi-rail risk implications.
- Leadership to mentor engineers and influence risk strategy.
- Comfortable using generative AI copilots with human-in-the-loop.
🎁 Benefits
- Remote-first but in-person participation required.
- Team offsites several times per year.
- Fully supported attendance for in-person collaboration.
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