Finom
Finom
501 – 1.000 Angajați
B2BFinanțeFintech
Finom este o companie fintech care deservește întreprinderile mici și mijlocii, liber-profesioniștii și alte companii, oferind instrumente practice pentru gestionarea financiară de zi cu zi. Platforma sa reunește facturarea, gestionarea cheltuielilor, deschiderea online a unui cont de afaceri, cashback-ul și conturile IBAN internaționale. Fondată în 2019, Finom activează în sectoarele fintech, financiar și B2B și are între 501 și 1.000 de angajați. Compania își susține infrastructura de servicii financiare prin parteneriate cu bănci precum SolarisBank și Treezor, punând accent pe servicii bancare pentru companii sigure și eficiente.

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.

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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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