Senior Machine Learning Engineer – Financial Crime Detection

About the role

Finom is building an all‑in‑one financial platform for entrepreneurs across Europe. As a Senior Machine Learning Engineer you will own and evolve the Dynamic Risk Score (DRS), a production ML system that scores the entire client base daily and drives quarantine, alert suppression and future credit decisions.

Key responsibilities

• Develop full‑stack ML models (binary classification and regression) for detecting and preventing financial crime during transaction processing and client onboarding.
• Own the DRS product across all markets, handling daily scoring, rule portfolios and continuous performance monitoring.
• Implement champion‑challenger frameworks and A‑B evaluation to ensure the best model is live in production.
• Contribute to infrastructure for model operationalisation and inter‑service interactions.

Required profile

• At least 5 years of experience as a Machine Learning Engineer or full‑stack Data Scientist with production deployment experience.
• Strong analytical mindset, proactive and able to work with minimal supervision in a start‑up environment.
• Quantitative education (e.g., mathematics, engineering, economics, computer science) and full professional proficiency in English.

Required skills

• Python
• SQL
• FastAPI (or similar API frameworks)
• Experience with cloud data platforms such as Databricks
• Architectural design of ML serving infrastructure and model monitoring

What we offer

• Impactful work on a product used by thousands of businesses.
• Opportunity to grow with a fast‑scaling European fintech.
• Remote or hybrid work model across Europe.
• Stock options for all team members.
• Work & Swim program – one month stay in a corporate apartment in Cyprus.