AI Process Owner – Transaction Monitoring, Customer Lifecycle

Finom

. Own AI implementation for transaction monitoring alert resolution from identifying manual steps through production deployment .

Posted 9/22/2026full-timeRemote • Netherlands, Spain, PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI implementation for transaction monitoring and alert resolution, with a strong focus on data analysis, AML frameworks, and customer-centric processes. Capable of leading projects that enhance efficiency and compliance through automation and model validation.

Highest-signal resume keywords

AI ImplementationTransaction MonitoringAML FrameworksData AnalysisCustomer-Focused Approach

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Alert ResolutionAI-Driven InvestigationsModel ValidationSQLPython

Soft Skills

StructuredPragmaticCustomer-Minded

Tools & Technologies

DatabricksMetabasePower BI

Industry Keywords

FintechBankEMIPSPKYCCDDSARSTR

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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