Position Details
About this role
This role involves leveraging advanced machine learning techniques to analyze banking data, develop risk and usage models, and generate predictive insights to improve financial decision-making.
Key Responsibilities
- Partner with cross-functional teams to deliver data products
- Build machine learning models from design to deployment
- Transform raw banking data into predictive features
- Apply statistical and deep learning techniques
- Collaborate on technology stack and methodologies
Technical Overview
Utilizes Python, AWS, Spark, H2O, and other data science tools to build and validate machine learning models, process large datasets, and engineer features for credit risk assessment.
Ideal Candidate
The ideal candidate is a mid-level data scientist with strong experience in Python, AWS, and machine learning techniques. They should have a solid background in statistical modeling, data engineering, and experience working with large datasets to develop predictive models.
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 Python or AWS, No background in statistical modeling or data science, Less than 3 years of relevant experience
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