AML Risk and Controls Officer (Fintech)

Location: Remote or hybrid across Europe; listed locations are Spain, Poland and the Netherlands.

Company

hirify.global is a European fintech startup headquartered in Amsterdam, developing an all-in-one B2B financial platform combining banking, accounting, financial management and invoicing for entrepreneurs.

What you will do

• Analyse external intelligence and internal reports or model outputs to identify anomalies in customer transaction behaviour.
• Document confirmed anomalies as scenarios in the FinCrime Scenarios Library covering AML risks.
• Design rules, threshold changes and model features with the AML Risk Manager, back-test them on historical data and prepare release specifications, test results and acceptance criteria.
• Work with Engineering on deployment and monitor live rules for alert volume, precision, hit rate and drift, tuning, escalating or retiring controls when needed.
• Validate internally developed machine-learning models and maintain reporting on control coverage and false-negative rates.
• Develop training materials, improve processes, draft system requirements and lead ad hoc financial-crime projects.

Requirements

• At least 2 years in the Second Line of Defence at a regulated financial institution, or 3 years in Transaction Monitoring in a senior or Process Owner role.
• Thorough knowledge of AML regulation and transaction-data money-laundering typologies, including mule accounts, layering through fast pass-through payments, structuring and misuse of business accounts.
• Hands-on SQL skills for case investigation, rule back-testing and performance monitoring, including joins across large transaction tables.
• Experience with data analytics and visualisation tools such as Databricks, Metabase or Power BI for monitoring dashboards.
• Understanding of false positives, false negatives, hit rate, precision, recall and back-testing.
• Structured, evidence-based thinking, attention to detail and the ability to work independently with little supervision in a fast-moving startup.
• Ability to communicate findings and recommendations clearly to Product, Engineering, Operations and other non-compliance specialists, while balancing risk with customer impact.

Nice to have

• Practical use of AI tools for investigation and analysis, including case summaries, query drafting, pattern clustering or rule documentation, with the judgement to verify outputs.
• Python or similar scripting for analysis and automation.
• Experience validating or monitoring machine-learning models used in AML detection.
• Experience in a fintech, neobank or payment institution serving SMEs.

Culture & Benefits

• Full-time role in a startup environment focused on research, fast implementation and measurable product impact.
• Remote or hybrid work across Europe, with flexibility to travel and work remotely.
• Stock options available to every team member.
• Continuous personal and professional development with ongoing support and care.
• Work & Swim program offering one month in a corporate apartment in Cyprus.

Hiring process

• No specific selection stages or application instructions are provided.