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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 evaluating AI-supported workflows. Define where AI can act versus when human review is required, while maintaining AML controls, auditability, and a strong 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, including production rollout.
- Build and iterate AI investigation capabilities and agents with clear escalation logic and audit trails.
- Redesign alert resolution processes to define automated, validated, and human-led work.
- Set and document defensible boundaries for AI use within AML processes.
- Train and support analysts as their work shifts toward AI output and model validation.
- Analyze alert and customer data to identify inefficiencies and measure outcomes.
- Partner with AI, Data, Engineering, Product, Risk, Compliance, and other 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 limitations in transaction monitoring.
- Strong data analysis skills; familiarity with Databricks, Metabase, or Power BI.
- Customer-minded, structured, pragmatic, and able to own processes end to end.
- Professional fluency in English.
Nice to have
- Experience building or 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 KYC/CDD, periodic reviews, or ongoing customer due diligence.
- Experience with SAR/STR reporting.
- Python or similar skills for data work and prototyping.
- SQL.
Benefits
- Remote-friendly international team.
- Opportunity to expand the role's scope across the customer lifecycle.