ML Engineer

📋 Description

• Design, train, and deploy probability of default models.
• Build credit-limit strategies.
• Discover AI/ML opportunities to boost efficiency and revenue (collections, fraud control, conversion uplift).
• Analyse data sources and engineer features for modelling.
• Produce and update internal model documentation.
• Implement model monitoring.

🎯 Requirements

• 7+ years’ experience in ML/DS, 3+ years in credit-lending.
• PD models productionisation and credit-limit strategies.
• Advanced Python proficiency and solid ML algorithms.
• Ability to write, structure, and optimise complex SQL queries.
• Deep understanding of online lending workflows.
• English: Intermediate (B1) or higher.

🎁 Benefits

• Join a fast-scaling FinTech where your decisions shape the business.
• 20 paid days off annually, flexible schedule, people-first culture.
• Partial compensation for medical insurance, sports, and language.
• Work in an international, agile team with modern tools and purpose.