machine learning engineer in fintech

Finom is a European tech startup headquartered in Amsterdam that develops an all-in-one financial B2B solution for entrepreneurs. Its mobile-first platform integrates banking, accounting, financial management, and invoicing, with features including AI-enabled accounting.

• Develop full-stack ML models for financial crime detection and prevention during transaction processing and client onboarding, from requirements gathering and prototyping through production deployment;
• Own and evolve the Dynamic Risk Score (DRS) across all markets, scoring the full client base daily and feeding decision-making across the client lifecycle;
• Manage transaction rules with ML-driven detection, optimizing their performance and the number of generated alerts;
• Set up continuous production monitoring for model and rule performance;
• Develop a champion-challenger framework to ensure the best-performing model is live in production;
• Contribute to infrastructure for ML model operationalization and inter-service interactions, enabling models of varying complexity to be served and inferred.

• At least 5 years of experience as a Machine Learning Engineer or Full-stack Data Scientist, including production deployment experience;
• Strong SQL and Python skills and experience with cloud data platforms such as Databricks;
• Strong architectural skills and ability to design and improve infrastructure serving models of varying complexity;
• Experience with production model monitoring and champion-challenger or A/B evaluation;
• Critical and analytical thinking, proactivity, a results-driven approach, and ability to work with little supervision in a start-up setting;
• Quantitative education in mathematics, engineering, economics, or computer science;
• Full working proficiency in English;
• Nice to have: graph modeling, foundation models, embeddings.

• 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;
• The role can be performed remotely or in a hybrid model across Europe;
• Equal opportunity employer; applications are welcomed from all backgrounds, without discrimination based on legally protected characteristics;
• AI tools may support parts of the hiring process, including reviewing applications, analyzing resumes, and assessing responses; final hiring decisions are made by humans.