Risk Data Scientist

We are looking for a Risk Data Scientist.

We're launching a new business line in Colombia and looking for someone to become the first dedicated Data Scientist in our Risk team, building the function from the ground up as part of this launch.

This is a rare opportunity to shape a function from scratch rather than optimize what someone else already built: you'll be working with a fast-growing dataset, designing the full lifecycle of ML models used in real credit decisions, and setting the technical foundation that the rest of the Risk data science function will be built on. 

Day-to-day responsibilities:

• 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

The ideal candidate:

• 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