AI Process Owner – Transaction Monitoring, Customer Lifecycle

🕒 September 22

🌐 Netherlands, Spain, +1 more countries – Remote

🇳🇱 Netherlands – Remote 🇪🇸 Spain – Remote 🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 20%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Finom

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2019

💳 Fintech

💸 Finance

🤝 B2B

Fintech • Finance • B2B

Finom is a fintech company offering comprehensive financial services for SMEs, freelancers, and companies. The platform provides tools for invoicing, expense management, and easy online account opening with added benefits like cashback and international IBAN accounts. Finom ensures data security through partnerships with banks like SolarisBank and Treezor, making it a fast and reliable service for business financial management.

📋 Description

• Own AI implementation for transaction monitoring alert resolution from identifying manual steps through production deployment • Understand alert resolution from pickup through false positive, true positive or offboarding • Build AI-driven investigations of customers, suspicious transactions, behavioural patterns and network patterns • Build and iterate AI agents with boundaries, escalation logic and audit trails • Redesign alert resolution around automation, validation and human decision-making • Define and document the AI/AML boundary for risk management, audit and regulators • Support and upskill analysts transitioning to model and output validation • Analyse alert and customer data to identify inefficiencies, false-positive drivers and automation opportunities • Measure cycle time, alert backlog, AI resolution share, decision quality, analyst capacity and customer impact • Partner with AI, Data, Engineering, Product and risk management stakeholders • Maintain customer-focused processes that improve efficiency without degrading customer experience • Own procedures, decision logic, model rationale and controls to audit standard

🎯 Requirements

• 3+ years of experience in a fintech, bank, EMI or PSP environment in transaction monitoring and AML • Hands-on experience in first line of defence alert resolution • Solid understanding of AML frameworks and practical alert resolution • Experience implementing AI in projects • Understanding of AI limits within transaction monitoring and regulatory/audit acceptability • Strong data analysis skills • Comfortable with Databricks, Metabase and Power BI • SQL is an advantage • Customer-minded approach • Structured and pragmatic; comfortable owning a process end to end • Professional fluency in English • Nice to have: experience building or deploying AI agents or LLM-based workflows • Nice to have: exposure to model validation, model risk management or AI governance • Nice to have: transaction monitoring vendor systems and rule tuning/threshold optimisation • Nice to have: periodic reviews, KYC/CDD or ongoing customer due diligence • Nice to have: SAR/STR reporting • Nice to have: Python or similar for data work and prototyping

🏖️ Benefits

• Continuous personal and professional development resources and opportunities • Remote or hybrid work flexibility across Europe • Stock Options Program available to every team member • Constant support and care in a modern, friendly, eco-conscious corporate culture • One month in a corporate apartment in Cyprus through the Work & Swim Program • Genuine ownership and visible impact • Room to grow across the wider customer lifecycle • Direct collaboration with Compliance, Risk, Data, Product and Engineering leadership • International, remote-friendly team • Culture that rewards initiative over process for its own sake

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