product manager in transaction monitoring

Finom is a European fintech startup that provides an all-in-one financial B2B platform combining banking, accounting, financial management, and invoicing. Its platform also offers AI-enabled accounting features to help entrepreneurs manage their finances.

• Own AI implementation for transaction monitoring alert resolution, from identifying high-value manual steps and specifying solutions to running them in production;
• Understand the alert resolution process from initial pickup through false-positive or true-positive outcomes and offboarding;
• Build AI-driven investigation capabilities for customers, suspicious transactions, and behavioural and network patterns;
• Build and iterate on AI agents that take over manual analyst work, with clear boundaries, escalation logic, and audit trails;
• Redesign alert resolution around AI, defining what is automated, validated, or kept fully human and how quality is evidenced;
• Define where AI can and cannot be used within the transaction monitoring framework and document and defend this position to 2nd Line risk management, audit, and regulators;
• Support and upskill analysts through the transition to model and output validation, including guidance, training, and new working procedures;
• Analyse alert and customer data to identify inefficiencies, false-positive drivers, and automation opportunities, and measure outcomes;
• Partner with AI, Data, Engineering, Product, and risk management teams to translate operational and AML needs into technical requirements and technical constraints into operational reality;
• Consider customer impact when handling alerts, freezes, requests for information, and delays, ensuring efficiency gains do not degrade the customer experience;
• Own audit-standard documentation and processes, including procedures, decision logic, model rationale, and controls;
• Improve process efficiency and optimisation, including alert handling time, alert backlog, AI-resolved or pre-processed alert share, decision quality, analyst capacity, and customer-facing outcomes.

• 3+ Years of experience in transaction monitoring and AML in a fintech, bank, EMI, or PSP environment;
• Hands-on 1st Line of Defence alert resolution experience;
• Solid understanding of AML frameworks and their practical application to alert resolution;
• Experience implementing AI in projects and using AI in day-to-day work;
• Clear understanding of AI limitations within transaction monitoring, including what can be automated, where human judgement is needed, and what regulators and auditors will accept;
• Strong data analysis skills and technical aptitude; comfortable with Databricks, Metabase, and Power BI;
• Customer-minded, structured, pragmatic, and comfortable owning a process end to end in a fast-moving environment;
• Professional fluency in English;
• Nice to have: Experience building or deploying AI agents or LLM-based workflows in regulated or operational settings, exposure to model validation, model risk management, or AI governance, experience with transaction monitoring vendor systems and rule tuning or threshold optimisation, background in periodic reviews, KYC/CDD, or ongoing customer due diligence, experience with SAR/STR reporting, Python or similar for data work and prototyping.

• Stock Options Program available to every team member;
• Resources and opportunities for continuous personal and professional development;
• Work & Swim Program: one month in a corporate apartment in Cyprus;
• Remote or hybrid work and travel flexibility across Europe.