Related skills
risk management machine learning data science aml sanctionsπ Description
- Lead a team of Fincrime analysts across Business Banking.
- Develop and iterate controls to prevent financial crime.
- Ensure compliance with AML, fraud, sanctions and related crime types.
- Partner with Fincrime engineers, data scientists and ML experts to detect and prevent crime.
- Define measures and report performance to committees and stakeholders.
π― Requirements
- Strong knowledge of Financial Crime regulatory framework.
- Expertise in AML, fraud, sanctions and crime typologies for Business Banking.
- Proven people management and coaching skills.
- Experience building Fincrime detection capabilities across products.
- Ability to work with product owners, engineers and data scientists.
- Data-driven with ability to interpret metrics.
π Benefits
- Distributed UK work with ad hoc meetings in London.
- Macbooks provided and home office setup support.
- Β£1,000 learning budget each year.
- Flexible hours and remote-friendly policy.
- Access to Monzo benefits package.
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