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machine learning ai transaction_data_models📋 Description
- Research emerging fraud trends, attacker methods, and best practices in B2B/B2C fraud.
- Uncover vulnerabilities and balance growth vs risk.
- Define and drive a fraud-focused product strategy aligned with domain goals.
- Own fraud controls across transactional, document, and behavioural areas.
- Detect abnormal user behavior across onboarding, authentication, and payments.
- Translate gaps into a roadmap for journeys including fiat and crypto paths.
🎯 Requirements
- 4+ years as a Product Manager in fintech/payments.
- 2+ years developing anti-fraud products.
- Domain expertise in card or transfer/payments fraud.
- Experience with AI products; understanding predictive models in production.
- Experience leading vendor evaluations and integrations.
- Analytical thinker with strong system design and cross-functional influence.
🎁 Benefits
- Competitive starting salary and annual discretionary bonus.
- Dedicated mentorship from experienced managers.
- Cutting-edge technology and tailor-made tools.
- Clear, accelerated career progression within Ebury.
- Dynamic, supportive culture and collaboration.
- Generous benefits package including health care and social benefits.
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