Job Description
Responsibilities Research, design, and develop advanced machine learning methodologies to improve credit risk modeling across underwriting, pricing, credit limits, and portfolio optimization.
Apply both traditional and cutting-edge ML techniques, including gradient boosting, deep learning, representation learning, sequential modeling, graph learning, reinforcement learning, and large-scale pre-trained models.
Translate ambiguous credit and business problems into well-defined modeling problems, including hypothesis design, evaluation metrics, and validation frameworks.
Build and evaluate models using large-scale structured, behavioral, transactional, bureau, repayment, and financial data.
Develop advanced feature representation and embedding approaches to extract robust signals from heterogeneous data sources.
Explore reinforcement learning, contextual bandits, sensitivity modeling, uplift modeling, and response modeling for pricing, limit adjustment, and policy optimizat...
Apply both traditional and cutting-edge ML techniques, including gradient boosting, deep learning, representation learning, sequential modeling, graph learning, reinforcement learning, and large-scale pre-trained models.
Translate ambiguous credit and business problems into well-defined modeling problems, including hypothesis design, evaluation metrics, and validation frameworks.
Build and evaluate models using large-scale structured, behavioral, transactional, bureau, repayment, and financial data.
Develop advanced feature representation and embedding approaches to extract robust signals from heterogeneous data sources.
Explore reinforcement learning, contextual bandits, sensitivity modeling, uplift modeling, and response modeling for pricing, limit adjustment, and policy optimizat...