Position Details
About this role
This role involves leading the development of deep learning models for credit underwriting, focusing on sequential data and multi-modal inputs.
Key Responsibilities
- Lead deep learning model development
- Transform raw data into features
- Collaborate with stakeholders
- Manage large datasets
- Mentor junior team members
Technical Overview
Technical scope includes deep learning frameworks (PyTorch, TensorFlow), NLP, time series analysis, and model deployment in a financial context.
Ideal Candidate
The ideal candidate is a data scientist with extensive experience developing and deploying deep learning models, especially for sequential data, with proficiency in Python, PyTorch, TensorFlow, and NLP techniques.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with deep learning frameworks, No experience with sequential data models, Unwillingness to work in multiple locations
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