Data Scientist - Fraud
Core
Develop market-leading statistical fraud models and pseudo-models for consumer, commercial, synthetic fraud, payment intent, and loan stacking using cloud-based technologies and AI/ML techniques.
Role type
Senior IC data scientist (statistical fraud modeling)
Builds
Predictive fraud scores and analytical solutions for Equifax UK business
Domain
Financial services / Credit reference / Fraud prevention
Deliverable
production ML models
Required skills
statistical model development, logistic regression, gradient boosting, random forests, clustering, transformer models, credit bureau data analysis, feature engineering, model validation, regulatory compliance understanding
Preferred skills
AI/ML based fraud solutions, GCP/VertexAI, LLMs for model building, alternative data (open banking), fraud prevention tools (Hunter, Kount, SEON, etc.), product development environment experience, champion/challenger testing
Technologies
Python, SAS, BigQuery, Jupyter Notebook, SQL, GCP, VertexAI, G-Suite
Responsibilities
Develop statistical fraud models and pseudo-models; blend data sources to ensure high predictive power; apply traditional and new AI/ML techniques; create new characteristics to maximize model performance; investigate segmentation to improve score performance; liaise with stakeholders for delivery; adhere to model development policies; produce documentation for peer review and Model Risk Management
Seniority
Senior, hands-on IC
