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Finom
Finom
501 – 1,000 Employees
B2BFinanceFintech
Finom is a fintech company serving SMEs, freelancers, and other businesses with practical tools for day-to-day financial management. Its platform brings together invoicing, expense management, online business account opening, cashback, and international IBAN accounts. Founded in 2019, Finom operates in the fintech, finance, and B2B sectors and has a team of 501–1,000 employees. The company supports its financial services infrastructure through partnerships with banks including SolarisBank and Treezor, with a focus on secure, efficient business banking.
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Senior Machine Learning Engineer, Financial Crime

Lead Finom’s production Dynamic Risk Score and develop machine learning systems that help detect financial crime for European small and medium-sized businesses. Deploy, monitor, and improve models and transaction rules across markets.

CYCyprusRemoteFull-timeSeniorEnglish RequiredMachine Learning Engineer
CloudPythonSQL

Description

  • Build end-to-end classification and regression models to detect and prevent financial crime during transactions and client onboarding
  • Turn requirements into prototypes and deploy solutions to production
  • Lead the Dynamic Risk Score across markets, scoring the full client base daily
  • Manage ML-driven transaction rules and improve detection performance and alert volumes
  • Set up ongoing monitoring of production models and rules
  • Build a champion-challenger framework to keep the strongest-performing model in service
  • Help develop ML infrastructure for operationalizing models and enabling communication between services
  • Deploy, serve, monitor, and improve the production machine learning product

Requirements

  • Bring at least five years of experience as a machine learning engineer or full-stack data scientist
  • Have production deployment experience, including API services such as FastAPI
  • Demonstrate strong Python and SQL skills
  • Have experience with cloud data platforms such as Databricks
  • Be able to design and improve architecture and infrastructure for serving models of varying complexity
  • Have experience with production model monitoring and champion-challenger or A/B evaluation
  • Hold a quantitative degree in mathematics, engineering, economics, or computer science
  • Be fully proficient in English
  • Graph modeling or foundation models and embeddings experience is a plus
  • Bring critical and analytical thinking, initiative, a results focus, and comfort working independently in a startup environment

Benefits

  • Access resources and opportunities for ongoing personal and professional growth
  • Work remotely or in a hybrid arrangement across Europe, with flexibility to travel
  • Join the company-wide stock options program
  • Receive ongoing support in a modern, friendly, environmentally conscious company culture
  • Take part in the Work & Swim Program, including one month in a company apartment in Cyprus

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