Data Scientist - Intermediate
Core
Validate AI/ML models across financial domains (credit risk, marketing, fraud) and develop analytical approaches to meet business requirements.
Role type
Intermediate IC data scientist (financial risk & AI)
Builds
Production ML models for credit risk, marketing, and fraud detection
Domain
Financial services / AI & Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, Machine Learning, Natural Language Processing, Deep Learning, Statistical modeling, Data validation, Regulatory compliance knowledge
Preferred skills
Agentic AI frameworks, Cloud platforms (GCP, Azure, AWS), ECL/CECL/IFRS9 modeling, Stress testing
Technologies
Google Cloud Platform, Scikit-learn, TensorFlow, Statsmodels
Responsibilities
Validate models across financial domains for accuracy and compliance, Automate workflows using GCP, Execute AI validation projects, Contribute to AI policy and model risk management development, Collaborate with cross-functional departments
Seniority
Intermediate, hands-on IC
