Job Abstract

As a Senior Credit Risk AI/ML Scientist you will play a huge role not only with building models across our lending portfolio but also be involved in deploying and monitoring of the models in production.

What you will do:

• Develop and implement credit risk scoring models for personal loan origination using traditional and alternate datasets, including cash flow.
• Analyze diverse datasets to identify trends and patterns that may impact credit risk incorporating structured and unstructured data sources.
• Collaborate with cross-functional teams including data engineers, business analysts, and stakeholders to gather requirements and ensure alignment with business objectives.
• Conduct thorough model validation and performance monitoring to ensure accuracy and effectiveness across multiple data streams.
• Stay current with industry best practices, emerging trends, and regulatory requirements related to credit risk modeling, particularly in alternative data usage.
• Communicate findings and insights to technical and non-technical stakeholders in a clear and concise manner, emphasizing the incorporation of alternative datasets.
• Support model deployment and provide ongoing support for model maintenance and enhancements, particularly in the context of evolving data sources and regulatory landscapes.
• Use ML to segment our customers based on behavior and propensity to engage with our various lending products
• Recommend optimal segmentation strategy to build different models for different consumer segments.
• Work on a modern AI/ML platform.
• Use every dataset at disposal to build a feature store for AI/ML models as well as a customer 360 profile.
• Set up testing infrastructure to test different underwriting and credit strategies for different lending products.
• Conceive, design & monitor risk management strategies to improve business profitability in the areas of underwriting, credit line management, universe expansion and alternative data evaluation for lending.