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sql python machine learning data science fraud detection📋 Description
- Set the Strategy: Build and scale the roadmap for fraud decisioning, ensuring our models stay ahead of emerging typologies.
- Lead the Team: Mentor and develop a team of data scientists, fostering a culture of mastery and continuous learning.
- Architect Solutions: Partner with Product and Engineering to design and deploy real-time decision logic and data architectures.
- Model Mastery: Develop fraud scoring methodologies and build features from high-volume transactional, device, and behavioural data.
- Optimise Outcomes: Design and run experiments to improve precision and recall, balancing security with a seamless user experience.
- Governance & Integrity: Ensure data quality and the responsible use of models within our regulated environments.
🎯 Requirements
- 6+ years in Data Science, Decision Science, or Fraud Risk.
- Degree or equivalent in a quantitative field.
- Deep knowledge of fraud typologies, financial crime.
- SQL proficiency and at least one programming language (Python).
- Proven success deploying ML models at scale.
- Experience leading technical teams in fast-paced environments.
🎁 Benefits
- Culture: people come first; inclusive, collaborative.
- Learning: regular technical talks and training.
- Compensation: salary, pension, health insurance, annual bonus.
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