AI Process Owner – Transaction Monitoring, Customer Lifecycle

Finom

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

Posted 9/22/2026full-timeRemote • Spain, Poland, NetherlandsMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI implementation for transaction monitoring, focusing on alert resolution, automation, and risk management. Proficient in data analysis and collaboration with cross-functional teams to enhance operational efficiency while ensuring compliance with AML frameworks.

Highest-signal resume keywords

AI ImplementationTransaction MonitoringAML FrameworksData AnalysisProcess Ownership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Alert ResolutionAI-Driven InvestigationsModel ValidationSQLPython

Soft Skills

Customer-Minded ApproachStructured Process Ownership

Tools & Technologies

DatabricksMetabasePower BI

Industry Keywords

FintechBankingEMIPSPKYCCDDSARSTR

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Own AI implementation for transaction monitoring alert resolution from identifying high-value manual steps through production deployment
Understand the alert resolution process 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 that replace manual analyst work 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 during the transition to model and output validation
Analyse alert and customer data to identify inefficiencies, false-positive drivers and automation opportunities
Measure process changes and their impact
Partner with AI, Data, Engineering, Product and risk-management stakeholders
Ensure efficiency improvements do not degrade customer experience
Own audit-standard procedures, decision logic, model rationale and controls
Drive reductions in alert handling time and backlog
Increase AI-resolved or pre-processed alerts while maintaining or improving quality
Track QA, validation sampling, audit outcomes, analyst capacity and customer-facing impact

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 limitations within transaction monitoring and regulatory/audit requirements
Strong data analysis skills
Comfortable with Databricks, Metabase and Power BI
SQL is an advantage
Customer-minded approach
Structured and pragmatic process ownership
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 experience
Nice to have: Python or similar for data work and prototyping

Benefits

Comp & perks

Continuous personal and professional development opportunities
Flexibility to travel and work remotely or in a hybrid model across Europe
Stock Options Program available to every team member
Ongoing support and care in a modern, friendly, eco-conscious corporate culture
One month in a corporate apartment in Cyprus through the Work & Swim Program
Equal opportunity workplace
International, remote-friendly team
Culture that rewards initiative