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python gcp machine learning fraud prevention predictive modeling📋 Description
- Develop and deploy predictive models with Engineers and Fraud Analysts.
- End-to-end ML delivery: feature engineering to production deployment.
- Reduce false positives and automate fraud controls.
- Scale ML products on our GCP stack with cross-functional teams.
- Collaborate with product, engineering and data science peers.
- Provide hands-on technical leadership and knowledge sharing.
- Drive fintech innovation while supporting a seamless customer experience.
🎯 Requirements
- Degree (or PhD) in STEM or equivalent experience.
- Track record deploying predictive models in production with impact.
- Experience in Fintech, Fraud or Payments is a plus.
- Translate ML concepts into practical product solutions.
- Write and maintain production-grade code; perform reviews.
- Work across full model lifecycle: analysis to live A/B tests.
🎁 Benefits
- Wellbeing: medical cover and support.
- Work Away: work from anywhere up to 90 days/year.
- Hybrid model with in-office days determined by your team.
- Equity for all permanently employed GoCardless staff.
- Parental leave tailored to support your life.
- Annual holiday leave plus volunteer and wellness days.
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