Senior Risk Data Scientist (Científico de Datos de Riesgo Senior) - Latam

Confirmed live in the last 24 hours

Clara

Latin America

Hybrid

Posted April 8, 2026

Job Description

Ready to accelerate your career?

Clara is the fastest-growing company in Latin America. We've built the leading solution for companies to make and manage all their payments. We already help over 20,000 large and growing businesses operate with agility and financial clarity through locally issued corporate cards, bill pay, financing, and a powerful B2B platform built for scale.

Clara is backed by some of the most successful investors in the world, including top regional VCs like monashees, Kaszek, and Canary, and leading global funds like Notable Capital, Coatue, DST Global Partners, ICONIQ Growth, General Catalyst, Citi Ventures, SV Angel, Citius, Endeavor Catalyst, and Goldman Sachs - in addition to dozens of angel investors and local family offices.

We’re building the financial infrastructure that powers high-performing organizations across the region. We invite you to join us if you want to be part of a fast-paced environment that will accelerate your career and support you to do some of the best work of your life alongside a passionate and committed team distributed across the Americas.

What you'll do

We're looking for a Data Scientist to join our Risk Data Science team. In this role, you will be instrumental in analyzing complex datasets to generate insights that drive critical business decisions, specifically within credit risk, fraud prevention, and churn reduction. You will work cross-functionally to design, build, and deploy data-driven strategies that ensure Clara continues to scale securely and efficiently.

Problem Definition and Solution Design: Identify and define problems collaboratively with cross-functional teams, proposing feasible end-to-end solutions and maintaining clear communication to ensure alignment with business objectives.
Problem Definition and Solution Design: Ability to identify and define problems collaboratively with cross-functional teams, propose feasible end-to-end solutions, and maintain clear communication and consistent project follow-up to ensure successful execution and alignment with objectives.
Data Understanding: Explore, profile, and interpret large datasets to gain a deep understanding of data structure, quality, and behavior. Identify patterns, anomalies, and trends; validate assumptions; assess data completeness and consistency; and translate data findings into clear insights that support informed business understanding and decision-making.
Data Cleaning and Preprocessing: Prepare, clean, and transform raw data to ensure it is suitable for analysis and model development. Apply data quality checks, validation rules, and preprocessing techniques in alignment with the data understanding and data preparation phases of CRISP-DM to ensure accuracy, consistency, and reliability.
Machine Learning and Predictive Analytics: Design, build, deploy and monitor machine learning models to improve business operations and drive innovation, following the CRISP-DM methodology—from business understanding and data understanding to modeling, evaluation, and deployment Continuously monitor model performance, data drift, and outcomes to ensure reliability and effectiveness in production.
Continuous Learning and Innovation: Stay up to date with the latest advancements in data science, machine learning, and statistical methods. Contribute to the development of new analytical approaches and tools.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. The preferred qualifications are a bonus, not a requirement.