Related skills
bigquery sql python machine learning fraud prevention📋 Description
- Lead end-to-end delivery of models at scale from discovery to production and monitoring.
- Collaborate with product and engineering to deliver real-time fraud prevention.
- Raise the team's technical bar through hands-on leadership and knowledge sharing.
- Research and integrate ML and payer fraud prevention innovations to drive value.
🎯 Requirements
- Degree (or PhD) in a STEM field or equivalent commercial experience.
- Hands-on with architectures like deep learning, graph-based, or sequence models.
- Experience in Fintech or Fraud Prevention is a plus.
- Able to translate ML concepts into practical product solutions and communicate clearly.
- Own full ML lifecycle from analysis and feature engineering to prototyping and live A/B testing.
- Lead by example; write clean code and raise the team's technical bar.
🎁 Benefits
- Base salary €55,200 - €82,800
- Hybrid working: in-office days set by the team
- Wellbeing: medical cover
- Equity: equity for permanent employees
- Work Away Scheme: work from anywhere up to 90 days
- Parental leave: tailored leave to support life's great adventure
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Data Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!