Senior Credit Risk Data Scientist — Modeling & Strategy

Clara; Ciudad de México; Hybrid; MXN 900,000 - 1,800,000; Full time

Benefits offered by this job

Stock options (ESOP)

Annual learning budget

Hybrid work model

Competitive salary

Job summary

Clara is the leading Latin American platform enabling companies to execute and manage every payment operation. We seek a Senior Data Scientist – Risk Modeling to advance credit risk models and risk strategies across markets in Mexico, Brazil, and Colombia.

You will own the modeling lifecycle, work with risk, data, engineering, and finance teams, and translate analytics into business decisions. Fluency in English and Spanish is required, with a strong Python/SQL and Databricks toolkit.

Qualifications

• 4–6+ years in Data Science, Risk Analytics, or related roles.
• 3+ years building or validating credit risk models.
• Strong Python and SQL skills for data manipulation and modeling.
• Experience with Databricks or similar cloud analytics platforms.
• Experience with libraries like scikit-learn, LightGBM, XGBoost, PyTorch.
• Understanding of the full model lifecycle and governance.

Responsibilities

• Develop credit risk models for origination, behavioral risk, and portfolio management.

Skills

Python

SQL

Risk analytics

Credit risk modeling

Databricks

ML libraries (scikit-learn, XGBoost, L

Latin American markets

English & Spanish

Model lifecycle

Communication to leadership

Education

Bachelor's degree in Statistics/Data Science/Math/Economics/Engineering

Master's degree (nice to have)

Tools

Databricks

MLflow

GitHub

Python

SQL

scikit-learn

Job description

Clara is the leading Latin American platform enabling companies to execute and manage every payment operation. We seek a Senior Data Scientist – Risk Modeling to advance credit risk models and risk strategies across markets in Mexico, Brazil, and Colombia.

You will own the modeling lifecycle, work with risk, data, engineering, and finance teams, and translate analytics into business decisions. Fluency in English and Spanish is required, with a strong Python/SQL and Databricks toolkit.