Data Scientist (Risk) (Fintech)

TL;DR

Data Scientist (Risk) (Fintech): Developing and optimizing machine learning models to detect and prevent fraud in a high-volume payment ecosystem with an accent on predictive modeling and risk mitigation. Focus on building scalable algorithms and analyzing large-scale datasets to protect the platform and its users.

Location: Remote (São Paulo, Brazil)

Company

A fintech unicorn building the future of payments with an AI-driven approach.

What you will do

• Develop and optimize machine learning models specifically for fraud detection and prevention.
• Analyze large-scale datasets to extract meaningful insights for risk management processes.
• Implement robust, data-driven strategies to enhance risk assessment and mitigation.
• Bridge the gap between theoretical data science and practical, scalable fintech solutions.
• Collaborate with risk analysts and software engineers in a multidisciplinary team to enhance defense layers.

Requirements

• Fluency in Python and SQL.
• Proficiency in ML libraries such as Scikit, PyTorch, and TensorFlow.
• Experience with cloud-based services, specifically Google Cloud Platform (GCP).
• Solid data visualization skills for creating charts and dashboards.
• Ability to communicate and debate in both English and Portuguese.
• Must be able to work autonomously and collaboratively in a fully remote, distributed environment.

Nice to have

• Experience within the financial or payment industry.
• Knowledge of distributed systems and parallel computing.
• Understanding of DevOps practices, including CI/CD and containerization.

Culture & Benefits

• Fully remote and distributed team environment.
• Collaborative culture that values curiosity and high responsibility.
• Opportunity to work at a fintech unicorn building AI-driven payment solutions.

Hiring process

• Online technical assessment (quiz).
• Technical interview.
• Cultural interview.