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Strong employer brand, metro location, and mid-level role balanced by specialized risk-modeling requirements.
Role requires domain-specific credit risk modelling and production ML skills, limiting cross-industry transferability.
Explicit 2+ years requirement plus mandatory Python and risk model implementation increases filter strictness.
Develop, test, validate, and implement credit risk model code packages in a live production environment following SDLC principles.
Automate production processes using Python and Linux scripting, and manage job scheduling to ensure smooth execution.
Analyze production data for ongoing risk model monitoring, provide analytic support, document issues with root cause analysis, and maintain system documentation.
Minimum 2+ years of coding experience with Python.
Bachelor’s degree in Computer Science, Computer Information Systems, Mathematics, Engineering, or equivalent experience.
Experience working in Linux environments and with automation scripts.
Work Experience Required: Minimum 2+ years coding experience explicitly mentioned.
Strong quantitative and analytic skills with experience in credit risk modeling or risk model implementation.
Capable of developing partnerships across multiple business and functional areas to support risk model execution.
Experience in production environment support with the ability to document processes and resolve technical issues.