Financial Crime Analyst
Finom
IT, Accounting & Finance
Spain
Posted on Aug 26, 2025
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.
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, partners, and, of course, our business.
About the role
We are seeking a diligent and proactive Financial Crime Analyst to join our team. In this role, you will be a key player in our second line of defense, responsible for reviewing and escalating complex cases, validating advanced risk models, and ensuring our compliance with global financial crime regulations. You will also be instrumental in enhancing our risk engines and supporting a culture of continuous process improvement.
Responsibilities
- Review and Escalate Cases: Conduct thorough reviews of complex and high-risk cases escalated by the First Line of Defense (CDD and Transaction Monitoring teams).
- Model Validation: Validate the results of internally developed Machine Learning models to ensure their accuracy and effectiveness before they are deployed into production.
- Regulatory Reporting: Prepare and submit Suspicious Activity Reports (SARs) to Financial Intelligence Units (FIUs) across multiple jurisdictions, and manage responses to information requests from competent authorities.
- Due Diligence: Perform comprehensive due diligence on employees and investors as part of our internal control measures.
- Process Enhancement: Actively contribute to the enhancement of our Transaction Monitoring and Customer Due Diligence (CDD) risk engines and related processes.
- Operational Support: Support departmental process improvement initiatives, including drafting and reviewing system requirements for financial crime-related features.
- Training & Collaboration: Deliver regular internal Anti-Money Laundering (AML) training sessions and collaborate with colleagues to optimize processes.
- Project Management: Take responsibility for initiating and managing ad-hoc projects within the department to ensure operational efficiency.
Who you are
- Proven experience in a financial crime, AML, or compliance role, with a strong focus on case review and escalation.
- Demonstrated experience preparing and submitting Suspicious Activity Reports (SARs).
- Knowledge of AML/CFT regulations and the ability to apply them in a practical setting.
- Experience with due diligence processes for individuals and/or entities.
- Strong analytical skills with the ability to review complex data and identify suspicious patterns.
- Excellent communication and collaboration skills, with the ability to work effectively across different teams.
- A proactive and independent work style, with the ability to manage multiple projects simultaneously.
Preferred Qualifications
- Experience with Machine Learning model validation or a similar technical role.
- Familiarity with financial crime risk engines and related technology.
- Relevant professional certifications (e.g., ACAMS, CFE, etc.).
Interview Process
Recruiter Interview - 30 mins
1st interview - 60 mins
Case & task
Final Interview -60 mins
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself 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.