Position Details
About this role
This role involves leading the redesign and automation of credit risk modeling processes, focusing on model development, deployment, and monitoring within a cloud environment.
Key Responsibilities
- Lead model process redesign
- Optimize model scalability
- Automate model monitoring
- Integrate third-party tools
- Develop data pipelines
Technical Overview
Expertise in Python, SQL, AWS, data lakes, ETL pipelines, Spark, containerized environments, and credit risk modeling lifecycle management.
Ideal Candidate
The ideal candidate is a senior data science leader with at least 7 years of experience in credit risk modeling, data pipelines, and cloud environments. They possess strong programming skills in Python, expertise in data lakes and ETL processes, and experience leading model lifecycle management.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 7 years of experience, Lack of hands-on system design experience, No proficiency in Python or SQL, No experience with cloud platforms (AWS, Azure)
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