Data Scientist, Risk

CloudWalk, Inc.

full-time

Posted on: 9/20/2025

Origin: • 🇧🇷 Brazil

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Mid-LevelSenior

CloudDistributed SystemsGoogle Cloud PlatformPythonPyTorchSQLTensorflow

About the role

Develop and optimize machine learning models to detect and prevent fraud.
Analyze large-scale datasets to extract meaningful insights for risk assessment and mitigation.
Implement robust data-driven strategies to enhance risk management processes.
Bridge the gap between theoretical data science and practical, scalable solutions in the fintech sector.
Handle large-scale datasets, extract meaningful insights, and develop sophisticated algorithms to protect the ecosystem.
Collaborate with multidisciplinary team members including risk analysts, data scientists, and software engineers.
Create data visualizations, charts, and dashboards to communicate findings to stakeholders.

Fluency in Python and SQL.
Proficient in ML libraries like Scikit, PyTorch, TensorFlow, etc.
Experience with cloud-based services like the Google Cloud platform.
Solid Data Visualization skills to create charts and dashboards.
Strong analytical skills, ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Detail-oriented with a strong research mindset.
As a member of a fully remote and distributed team, ability to complete tasks autonomously; highly collaborative and self-driven.
Communication skills: able to communicate effectively with multiple teams.
Ability to communicate and debate in English and Portuguese.
Nice-to-have: Experience with financial or payment industry.
Nice-to-have: Knowledge of distributed systems and parallel computing.
Nice-to-have: DevOps practices: understanding continuous integration, continuous deployment, and containerization.