Remote Data Scientist (Risk) - ML & Hybrid Modeling

• Design, develop, and maintain risk models using advanced machine learning techniques.
• Retrain, monitor, and validate existing models.
• Build and manage scalable data marts in BigQuery.
• Contribute to development of internal automation tools.
• Provide data-driven insights through ad-hoc analyses.
• Participate in research and prototyping of new architectures.

A leading financial technology company is seeking a highly skilled Data Scientist to join its Risk Department. This fully remote role involves designing and maintaining risk models and contributes to machine learning initiatives impacting risk management. Ideal candidates should have at least 2 years of relevant experience and proficiency in Python and machine learning libraries. Opportunities include stock options in a growing company and a flexible benefits package., * At least 2 years of experience as Data Scientist, ML Engineer, or Risk Analyst.

• Proven track record of impactful contributions in credit scoring.
• Experience building and deploying machine learning solutions., Proficiency in Python Experience with NumPy Experience with Pandas Experience with scikit-learn Experience with CatBoost Experience with XGBoost Experience with LightGBM Strong knowledge of PyTorch Advanced SQL knowledge Experience with Airflow Experience with Docker Fluency in English Experience with AWS Experience with Google Cloud Platform Experience with Microsoft Azure Experience with Tableau Experience with Power BI Experience with financial datasets Understanding of risk management principles Descripción del empleo