О компании
Finom provides an all-in-one financial B2B platform for entrepreneurs, integrating banking, accounting, financial management, and invoicing. Its platform also offers AI-enabled accounting and supports small and medium businesses across Europe with financial crime prevention.
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 across all markets, scoring the full client base daily to support decisions throughout the client lifecycle
•Manage transaction rules with ML-driven detection, optimizing their performance and the number of generated alerts
•Set up continuous production monitoring of model and rule performance, and develop a champion-challenger framework to keep the best-performing model live
•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 with API services such as FastAPI
•Strong SQL and Python skills, and experience with cloud data platforms such as Databricks
•Strong architectural skills, including designing and improving infrastructure for serving models of varying complexity
•Experience with production model monitoring and champion-challenger or A/B evaluation
•Critical and analytical thinking; proactive, results-driven, and comfortable working 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 in the EU
•Work & Swim Program: one month in a corporate apartment in Cyprus
•The company may use AI tools to support parts of the hiring process; they assist the recruitment team and do not replace human judgment. Final hiring decisions are made by humans
