Data Scientist

• Develop advanced quantitative and machine learning models for Current Expected Credit Loss (CECL), loss forecasting, and stress testing.
• Aggregate and synthesize datasets from multiple data environments.
• Analyze complex datasets to understand the performance and drivers for losses across various products.
• Investigate external credit data to identify trends in the market and industry.
• Conduct loss sensitivity analysis.
• Automate models and analytical dashboards.
• Monitor the models’ performance and re-calibrating the models as needed.
• Work with Business Units, Operations, Product, Capital Markets, Finance, Accounting and Risk partners to ensure correct loss expectations and trend of losses are communicated effectively and executed appropriately.

Senior Data Scientist, Loss Forecasting

Data Science & Analytics Director

Senior Data Scientist – Experimentation, Causal Inference

Senior Data Scientist – Grid Reliability

Data Scientist – Grid Reliability, Expert

Data Scientist, Technical Lead