AML Risk and Controls Officer

Finom; Spain; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Stock options

Work in EU

Work & Swim program

Job summary

Finom is expanding its AML team in Europe. We’re seeking an AML Investigator (2LOD) to join the second line of defence across EU markets. You’ll identify financial crime patterns, turn anomalies into documented scenarios, and collaborate with Engineering to deploy robust rules and models.

This role values analytical rigor, data-driven decisions, and cross‑functional collaboration. Expect to shape the AML program, validate ML models, and contribute to a culture of risk awareness while enabling

Qualifications

• Identify anomalies in customers' transactions using external and internal sources.
• Turn confirmed anomalies into documented AML scenarios.
• Design and implement mitigation measures with the AML Risk Manager.
• Back-test rules on historical data and monitor alert targets.

Responsibilities

• Analyse external and internal sources to spot anomalies.
• Develop and maintain AML scenarios library.
• Validate ML models before production and monitor performance.
• Prepare rule specifications and coordinate with Engineering for deployment.
• Maintain library coverage and monitor false negatives.

Skills

AML investigations

Data analysis

Python

Fintech domain knowledge

Tools

SQL

Job description

About Finom

Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.

Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.

We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.

Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.

At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.

Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, and partners, and, of course, our business.

AML Risk and Controls Officer

Internal job title: AML Investigator (2LOD)

The Role

Finom Payments serves small and medium-sized businesses across Europe, and every customer transaction passes through our Transaction Monitoring controls. As AML Investigator in the Second Line of Defence, you find the financial crime behaviour those controls miss, turn it into detection logic, and prove with data that the logic works in production.

You work side by side with the AML Risk Manager, who owns the effectiveness of the AML Risk Engine in the Transaction Monitoring domain. You bring the investigative insight and the data analysis. Together you decide which rules and models to build or change, and you measure their results.

What You Will Own

• Forced closures: making sure the decision to close an account is taken correctly, and improving the methodology behind that decision.


• False negative rate: the share of financial crime cases that took place but were not covered by our controls.


• Control coverage of the FinCrime Scenarios Library: the share of typologies in the library covered by a live, tested and monitored control, with the uncovered ones prioritised by risk.

Responsibilities

Detect

• Analyse external sources (police, partners, industry typology reports) and internal sources (anomaly reports, model outputs) to identify anomalies in the transactional behaviour of Finom customers.


• Turn each confirmed anomaly into a documented scenario in Finom's FinCrime Scenarios Library, which covers the full range of AML risks.

Build and monitor

• Design mitigation measures for each scenario with the AML Risk Manager: new rules, threshold changes and model features.


• Back-test every new or changed rule on historical data before release. Measure alert volume, hit rate and false positives.


• Prepare each release with a rule specification, test results and acceptance criteria, and work with Engineering on deployment.


• Monitor every live rule against its test targets, and tune, elevate or retire it when precision or alert volume drifts.


• Validate the results of internally developed Machine Learning models before release to production, and monitor their performance once live.


• Maintain the library and report its control coverage and the false negative rate.


• Take part in improving the Transaction Monitoring and CDD Risk Engines.

Enable the organisation

• Develop training materials for the Transaction Monitoring and Quality Assurance teams, based on real cases and current scenarios.


• Identify and drive process improvements within the department, and draft and review system requirements for new features relevant to financial crime.


• Initiate and own ad hoc projects within the department.


• Take on other duties reasonably required for Finom's operational efficiency, whether you identify them or your manager assigns them.

Strong plus

• Practical use of AI tools in investigation and analysis, for example to summarise cases, draft queries, cluster patterns or document rules, with the judgement to check their output.


• 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.

How You Work

Finom rejects the \"Compliance says no\" mentality. We want a colleague who empowers the business instead of limiting it: someone who weighs risk against customer impact, challenges the status quo, and proposes alternatives to a flat refusal.

You communicate with colleagues at every level of seniority. You present your findings and recommendations in plain, concise language to people who are not compliance specialists, such as Product, Engineering and Operations.

What You Will Get In Return

• Make a genuine impact on the product


• Work in the EU


• Become a stock options holder


• Receive unwavering support and care


• Work & Swim program Immers e in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.

Equal Opportunity Statement

At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.