Risk Data Scientist Senior

• Design, build, and own end-to-end machine learning models supporting risk decisions — from feature engineering and model development to deployment, monitoring, and retirement
• Build predicting models for adjacent functions (e.g., churn/attrition prediction on issued loans, reserve calculations)
• Establish and maintain a managed lifecycle for ML models in production — ensuring models remain stable and reliable as data volume grows
• Collaborate closely with Risk Analysts, Portfolio Managers, and Risk-tech strategy teams on model implementation

• 3+ years of hands-on, production-level Data Science experience
• Hands-on experience across the full ML model lifecycle: development, deployment, monitoring, and decommissioning
• Experience in banking or financial services strongly preferred, with an understanding of how risk decisions are embedded in financial products
• Strong foundation in ML algorithms, feature engineering, and model development
• Proficient in Python, SQL, Airflow, Git, BI / Streamlit
• Education: Mathematics, Physics, Computer Science, or a related STEM field from a top technical university
• Comfortable working independently and owning problems end-to-end
• B1 or higher English level for effective communication with an international team

Our ways of working

• Innovative Spirit: A commitment to creativity and groundbreaking solutions
• Honest Feedback: valuing open, transparent communication
• Supportive Team: a strong, collaborative community
• Celebrating Achievements: recognizing our wins together
• High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances

• Relocation support to one of our hubs with assistance for the employee and their family
• Flexible work from one of our offices or remote
• Healthcare Coverage
• Education Budget: Language lessons, professional training and certifications
• Wellness Budget: Mental health and fitness activity reimbursements
• Vacation Policy: Annual leave and paid sick leave as per applicable policies