Risk Data Scientist Middle+

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

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

Our benefits:

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: 20 days of annual leave and paid sick leave