Finom
Finom
501 – 1 000 Қызметкерлер
B2BҚаржыФинтех
Finom — шағын және орта бизнеске, фрилансерлерге және басқа да кәсіпорындарға күнделікті қаржылық басқаруға арналған практикалық құралдар ұсынатын финтех компаниясы. Оның платформасы шот-фактура жасау, шығындарды басқару, бизнес шотын онлайн ашу, кэшбэк және халықаралық IBAN шоттарын біріктіреді. 2019 жылы құрылған Finom финтех, қаржы және B2B салаларында жұмыс істейді, компанияда 501–1 000 қызметкер бар. Компания қауіпсіз әрі тиімді бизнес-банкингке басымдық бере отырып, қаржылық қызметтер инфрақұрылымын SolarisBank және Treezor сияқты банктермен серіктестік арқылы қамтамасыз етеді.

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.

Сипаттама

  • 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

Талаптар

  • 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

Артықшылықтар

  • 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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