Finom
Finom
501 – 1 000 Xodimlar
B2BFintexMoliya
Finom kichik va o‘rta bizneslar, frilanserlar hamda boshqa korxonalarga kundalik moliyaviy boshqaruv uchun amaliy vositalarni taqdim etuvchi fintech kompaniyasidir. Uning platformasi hisob-fakturalar tuzish, xarajatlarni boshqarish, biznes hisobvarag‘ini onlayn ochish, keshbek va xalqaro IBAN hisoblarini birlashtiradi. 2019-yilda tashkil etilgan Finom fintech, moliya va B2B sohalarida faoliyat yuritadi hamda 501–1 000 nafar xodimdan iborat jamoaga ega. Kompaniya xavfsiz va samarali biznes-banking xizmatlariga e’tibor qaratib, moliyaviy xizmatlar infratuzilmasini SolarisBank va Treezor kabi banklar bilan hamkorlik orqali qo‘llab-quvvatlaydi.

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.

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • 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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