Finom is a rapidly growing European fintech startup dedicated to revolutionizing financial management for entrepreneurs through an all-in-one, mobile-first platform. We are seeking a Senior Machine Learning Engineer to take full ownership of our Dynamic Risk Score system, playing a critical role in our mission to prevent financial crime and streamline business operations across Europe.
Key responsibilities
- Develop and deploy full-stack machine learning models for binary classification and regression to detect and prevent financial crime.
- Own and evolve the Dynamic Risk Score system, ensuring daily scoring of our entire client base across all active markets.
- Manage and optimize transaction rules integrated with ML-driven detection to improve performance and alert accuracy.
- Implement continuous monitoring of model performance and establish champion-challenger frameworks for production environments.
- Design and improve infrastructure for ML model operationalization to support complex service interactions.
Requirements
- At least 5 years of experience as a Machine Learning Engineer or Full-stack Data Scientist with a focus on production deployment.
- Strong proficiency in Python and SQL, with hands-on experience using cloud data platforms like Databricks.
- Proven architectural skills in designing and maintaining infrastructure for serving machine learning models.
- Experience with model monitoring and A/B evaluation techniques in live production environments.
- Quantitative educational background and full professional proficiency in English.
What we offer
- The opportunity to make a genuine, measurable impact on a high-growth financial product.
- Participation in our Stock Options Program, allowing you to share in the company's success.
- Access to our unique Work & Swim program, offering a month of remote work in a corporate apartment in Cyprus.
- A supportive, inclusive, and eco-conscious corporate culture that prioritizes professional development.