Plata

Risk Data Scientist

In short

This role is the first dedicated Data Scientist for the Risk team of a new business line launching in Colombia, building the ML model function for credit decisions from scratch. The company is a high-tech financial platform redefining consumer banking. It requires 3+ years of production-level data science experience, hands-on work across the full ML lifecycle (development, deployment, monitoring, decommissioning), and skills in Python, SQL, Airflow, Git, and BI/Streamlit, ideally with a banking or financial services background. Work can be done from one of the company's offices or remotely, with relocation support offered.

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 dare 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: Annual leave and paid sick leave as per applicable policies

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