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AI Process Owner — Transaction Monitoring & Customer Lifecycle
OperationsRemote — Europe
Published on 2026-09-22
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 automation for transaction monitoring alert resolution, from identifying manual work to deploying and measuring AI-supported workflows. Define where AI can safely act and where human review is needed, while maintaining AML standards, auditability, and a positive customer experience.
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; Customer Lifecycle team.
Stack
DatabricksMetabasePower BISQLPythonAI agentsLLMs
What you'll do
- Own AI implementation for transaction monitoring alert resolution, from process analysis through production.
- Build and refine AI-supported investigations and agents with clear escalation rules and audit trails.
- Redesign alert resolution workflows to define what is automated, validated, or handled by humans.
- Set and document defensible boundaries for AI use within AML processes.
- Train analysts to validate AI outputs and support the transition from manual investigations.
- Analyze alert and customer data to identify inefficiencies and measure outcomes.
- Partner with AI, Data, Engineering, Product, Compliance, 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.
- Practical understanding of AML frameworks and alert investigation.
- Experience implementing AI in work or operational projects.
- Understanding of AI limitations in transaction monitoring and regulatory expectations.
- Strong data analysis skills; comfortable with tools such as Databricks, Metabase, and Power BI.
- Customer-minded, structured, 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.
- Experience with transaction monitoring systems, rule tuning, or threshold optimization.
- Background in periodic reviews, KYC/CDD, or ongoing due diligence.
- Experience with SAR/STR reporting.
- Python or similar skills for data work and prototyping.
Benefits
- Remote-friendly international team.
- Opportunity to grow the role's scope across the wider customer lifecycle.