Data Scientist – AI Fintech
Core
Design predictive models for credit risk, payments, and fraud detection in banking and fintech.
Role type
Data Scientist (AI Fintech)
Builds
Production ML models for risk and fraud analytics
Domain
Fintech / Banking / Fraud Analytics
Deliverable
production ML models
Required skills
Python, SQL, supervised machine learning, unsupervised machine learning, feature engineering, model validation, applied statistics, NLP techniques, risk modeling
Preferred skills
Generative AI, LLMs
Technologies
Python, SQL
Responsibilities
Build and deploy machine learning models for credit risk, payments, and fraud detection; Analyze transactional data to identify fraud patterns and emerging risks; Perform feature engineering, model training, validation, and monitoring; Collaborate with cross-functional teams to implement models into production systems; Ensure all models meet regulatory and compliance standards
