Position Details
About this role
This role involves developing credit valuation models and analytics using machine learning and statistical techniques on large financial datasets, leveraging tools like Python, AWS, and Spark.
Key Responsibilities
- Build machine learning models
- Develop valuation analytics
- Handle large financial datasets
- Validate models
- Collaborate with cross-functional teams
Technical Overview
The technical environment includes Python, Conda, AWS, H2O, Spark, and machine learning frameworks, focusing on data modeling, validation, and analytics for credit infrastructure.
Ideal Candidate
The ideal candidate is a mid-level data scientist with strong experience in Python, AWS, and machine learning techniques including clustering, classification, and deep learning. They are proficient in statistical modeling and data analytics, capable of handling large-scale financial data.
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 and AWS, No background in machine learning or data science, No experience with statistical modeling, Pursuing or lacking a Bachelor's degree in a quantitative field
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