Position Details
About this role
This role involves developing machine learning models to assess credit risk and customer behavior by transforming raw banking data into actionable insights. The candidate will work with large datasets and advanced analytics tools.
Key Responsibilities
- Partner with cross-functional teams to develop models
- Transform raw banking data into features
- Build and validate machine learning models
- Leverage cloud technologies for data processing
- Forecast creditworthiness and customer behavior
Technical Overview
Utilizes Python, AWS, Spark, H2O, and statistical techniques to build predictive models, perform data transformation, and analyze financial data for risk assessment.
Ideal Candidate
The ideal candidate is a mid-level data scientist with strong experience in machine learning, statistical modeling, and data transformation using Python and cloud platforms like AWS. They should have a solid understanding of risk modeling and financial data analysis.
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 machine learning, No background in financial data analysis, No experience with AWS or cloud platforms, Insufficient data science or statistical modeling skills
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