О компании
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.
Задачи
•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
Требования
•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
Условия
•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
