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AI Process Owner — Transaction Monitoring & Customer Lifecycle
OperationsRemote — Europe
Published on 2026-08-11
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
Own the implementation of AI-driven transaction monitoring alert resolution, automating suitable analyst tasks while preserving AML controls and human oversight. Redesign workflows, build and iterate on AI agents, and ensure decisions are measurable, auditable, and considerate of customer impact.
About the company
Finom is a European business banking and finance platform that combines accounts, cards, invoicing, and accounting tools for SMEs and entrepreneurs.
The team
AFC Product Operations, within the Customer Lifecycle team.
Stack
DatabricksMetabasePower BISQL
What you'll do
- Identify and implement high-value AI automation for transaction monitoring alert resolution.
- Build AI-supported investigation and agents with defined boundaries, escalation logic, and audit trails.
- Redesign alert workflows to define what is automated, validated, or kept human-led.
- Set and document acceptable AI use within AML controls for risk management, audit, and regulators.
- Train and support analysts transitioning to AI-output and model validation.
- Analyze alert and customer data to identify inefficiencies and measure outcomes.
- Partner with AI, Data, Engineering, Product, and risk stakeholders.
- Maintain audit-ready procedures, decision logic, model rationale, and controls.
What we're looking for
- At least 3 years of AML and transaction monitoring experience in a fintech, bank, EMI, or PSP.
- Hands-on first-line alert resolution experience and practical AML framework knowledge.
- Experience implementing AI in projects and a clear understanding of its limits in regulated monitoring.
- Strong data analysis skills; comfortable with tools such as Databricks, Metabase, and Power BI.
- Customer-minded, structured, pragmatic, and able to own processes end to end.
- Professional fluency in English.
Nice to have
- Experience deploying AI agents or LLM workflows in regulated operations.
- Exposure to model validation, model risk management, or AI governance.
- Transaction monitoring vendor systems, rule tuning, or threshold optimisation experience.
- KYC/CDD, periodic reviews, or ongoing customer due diligence experience.
- SAR/STR reporting experience.
- Python or similar for data analysis and prototyping.
- SQL experience.
Benefits
- Remote-friendly international team.
- Opportunity to expand the role’s scope across the customer lifecycle.