Sr Credit Data Scientist
Core
Develop scalable, automated risk modeling solutions using machine learning and statistical methods to identify and measure credit and fraud risk across the firm's products and services.
Role type
Senior IC credit data scientist (fraud risk)
Builds
Production risk models and automated processes for fraud detection and credit risk management
Domain
Financial services / Credit risk / Fraud prevention
Deliverable
production ML models
Required skills
Machine learning, statistical methods, SQL, Python, R, model deployment, feature stores, supervised/unsupervised learning
Preferred skills
Mentoring, underwriting models, behavioral modeling, external intelligence sources (LexisNexis, Socure, Dun and Bradstreet), cloud environments (AWS Sagemaker), MLOps, AI tools (Gemini, ChatGPT)
Technologies
lightgbm, scikit-learn, pandas, AWS Sagemaker
Responsibilities
Partner with stakeholders to translate fraud risk requirements into data-driven solutions; Identify and communicate challenges in the model development lifecycle; Design flexible and scalable risk modeling solutions; Develop code and automated processes to extract fraud risk patterns from large-scale data; Mentor and support junior data scientists
Seniority
Senior, hands-on IC
