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machine learning agile ai kyc fraud detection📋 Description
- Own end-to-end product lifecycle of FinCrime tools and systems.
- Manage engineering backlog and drive a risk-aligned roadmap.
- Translate financial crime requirements into actionable user stories.
- Collaborate with Compliance, Legal, and stakeholders to define solutions.
- Identify opportunities for innovation, incl. ML/AI to enhance detection.
- Ensure products meet AML, KYC, sanctions, and fraud requirements.
🎯 Requirements
- 3+ years experience as a Product Manager in FinTech/FS.
- Experience managing engineering backlog in Agile or Scrum.
- Strong understanding of AML, KYC, Sanctions, and Fraud Detection.
- Excellent communication to technical and non-technical audiences.
- Data-driven mindset; use data to inform product decisions.
- Experience in a highly regulated industry.
🎁 Benefits
- Meaningful ownership through employee option scheme.
- Flexible hybrid working hours.
- Culture built on growth-minded people.
- Flexible holiday policy.
- Opportunities to travel to our offices worldwide.
- Open and creative environment to define BVNK's future.
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