Found Description
Job Description
- Conduct research on cutting-edge sequence modeling and representation learning approaches, including Transformer-based architectures and transaction foundation models
- Read, reproduce, and implement recent papers related to user behavior modeling, sequential recommendation, NLP-inspired pretraining, and large-scale representation learning
- Build and optimize transaction sequence modeling pipelines using large-scale user behavioral and credit-related datasets
- Explore improvements in model architecture, training objectives, and feature representations to enhance downstream risk prediction performance
- Collaborate with risk modeling, data engineering, and strategy teams to evaluate and productionize research findings into real-world risk applications
- Undergraduates from a degree in Computer Science, Business Analytics and related fields
- Full-time interns preferred (3 ...
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