Data Scientist Risk
CloudWalk is a financial technology company that operates AI-powered payment and financial services. Its products serve Brazilian sellers and consumers as well as U.S. small and solo entrepreneurs, offering payments, credit, storefronts, financial-management assistance, and customer support.
Projects
About CloudWalk, Inc.
CloudWalk operates AI-native financial services and payment products, including InfinitePay for Brazilian sellers, JIM for U.S. microbusinesses, and Pierre, an AI financial agent for consumers in Brazil. It applies AI to credit scoring, fraud detection, customer support, and operational workflows. The company also develops Stratus, an open-source, Ethereum-compatible permissioned blockchain for global payment networks, financial institutions, developers, and enterprises.
Skills
About the Role
You will develop and optimize machine learning models to detect and prevent fraud, analyze data, and build predictive models to support risk management. You will handle large scale datasets, extract meaningful insights, and develop robust algorithms to protect the ecosystem. You will work remotely and communicate effectively with multiple stakeholders in a fast paced fintech environment. By applying for this position your data will be processed in accordance with the Privacy Policy.
Requirements
- Fluency in Python and SQL.
- Proficient in ML libraries such as Scikit Learn PyTorch and TensorFlow.
- Experience with cloud based services such as the Google Cloud platform.
- Strong data visualization skills to create charts and dashboards.
- Strong analytical skills with attention to detail and accuracy.
- Detail oriented with a strong research mindset.
- Autonomy to complete tasks in a fully remote distributed team while collaborating effectively.
- Excellent communication skills in English and Portuguese.
Responsibilities
- Develop and optimize machine learning models to detect and prevent fraud.
- Analyze large datasets, extract insights, and build predictive models to support risk management.
- Implement data driven strategies to strengthen fraud detection and risk controls.
