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AML Risk and Controls Officer
OperationsWorkplace — Europe
Published on 2026-11-11
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
Investigate financial crime patterns in customer transactions and translate confirmed risks into tested, monitored transaction-monitoring controls. The role partners with the AML Risk Manager to improve detection effectiveness, reduce false negatives, and validate rules and machine-learning models.
About the company
Finom is a European business banking and finance platform that combines accounts, cards, invoicing, and accounting tools for SMEs and entrepreneurs.
What you'll do
- Identify transaction anomalies using internal data and external typology sources.
- Document confirmed anomalies in the FinCrime Scenarios Library.
- Design, back-test, and monitor transaction-monitoring rules and thresholds.
- Validate machine-learning detection models and monitor live performance.
- Report control coverage and false negative rates.
- Develop training materials and drive process and system improvements.
What we're looking for
- At least 2 years in Second Line of Defence at a regulated financial institution, or 3 years in a senior Transaction Monitoring or Process Owner role.
- Strong knowledge of AML regulation and transaction-based money-laundering typologies.
- Hands-on SQL skills, including queries across large transaction tables.
- Experience with analytics and visualization tools such as Databricks, Metabase, or Power BI.
- Understanding of false positives, false negatives, hit rate, precision, recall, and back-testing.
- Structured, evidence-based approach and ability to work independently in a fast-moving startup.
Nice to have
- Practical use of AI tools for investigation and analysis.
- Python or similar scripting experience.
- Experience validating or monitoring AML machine-learning models.
- Fintech, neobank, or SME payments experience.