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Full time
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machine learning agile kyc fraud detection aml📋 Description
- Own end-to-end product lifecycle for FinCrime tools and systems.
- Manage engineering backlog; write user stories and prioritize features.
- Liaise between business and engineering; translate requirements.
- Drive a roadmap aligned with regulatory risk strategy.
- Identify innovations, leveraging ML/AI to boost detection models.
- Ensure products meet AML, KYC, sanctions and fraud standards.
🎯 Requirements
- 3+ years as Product Manager in FinTech/Financial Services.
- Backlog management with Agile/Scrum.
- Strong AML, KYC, sanctions, and fraud prevention knowledge.
- Excellent communication to technical and non-technical audiences.
- Data-driven mindset; use data to inform decisions and KPIs.
- Desirable: Familiarity with financial crime tools (Transaction Monitoring, Sanctions Screening).
🎁 Benefits
- Competitive salary at every stage of growth.
- Meaningful ownership via employee stock options.
- Flexible hours with hybrid working at its heart.
- Culture built on passionate, growth-minded people.
- Flexible holiday policy.
- Travel to BVNK offices around the world.
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