Data Scientist (Risk)

TL;DR

Data Scientist (Risk): Developing and optimizing machine learning models to detect and prevent fraud within a fintech ecosystem with an accent on risk assessment and mitigation. Focus on building predictive models, analyzing large-scale datasets, and implementing scalable data-driven strategies to protect merchants and users.

Location: Remote (Brazil)

Company

hirify.global is a fintech unicorn building the future of payments through innovation and AI-driven solutions.

What you will do

• Develop and optimize machine learning models for fraud detection and prevention.
• Analyze large-scale datasets to extract actionable insights for risk management.
• Build predictive models and implement robust data-driven strategies.
• Collaborate with risk analysts and software engineers to enhance risk management processes.
• Create data visualizations and dashboards to communicate findings effectively.
• Work autonomously within a distributed team to solve complex risk challenges.

Requirements

• Fluency in English and Portuguese required.
• Proficiency in Python and SQL.
• Experience with ML libraries such as Scikit, PyTorch, or TensorFlow.
• Experience with Google Cloud Platform.
• Strong analytical and research mindset with attention to detail.
• Ability to work autonomously in a fully remote environment.

Nice to have

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

Culture & Benefits

• Work in a fast-paced, innovative fintech environment.
• Collaborate with a multidisciplinary team of experts.
• Opportunity to build AI-driven solutions for a global payment ecosystem.
• Fully remote work culture with high autonomy.

Hiring process

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