Job Description

Client is seeking an experienced Python Developer Consultant to support the execution and implementation of existing credit risk models. This remote contract position plays a key role in bringing production-ready modeling solutions to life by "stitching together" components, integrating them with supporting code for analytics, and ensuring smooth technical deployment within the existing infrastructure.

This opportunity is ideal for a self-motivated technical expert who thrives in collaborative environments, brings strong problem-solving skills, and has deep experience in Python, cloud-based platforms, and data tools.

Key Responsibilities:

• Develop and maintain Python code to implement existing credit models into Flagstar's production environment.
• Build scripts for sensitivity analysis, segmentation logic, batch execution, and other analytical processes surrounding the models.
• Set up and manage connections to internal and external data sources (e.g., Snowflake, AWS).
• Package models and supporting code into reproducible units, managing dependencies, libraries, and environment configurations.
• Collaborate with business and risk teams to understand modeling requirements and translate them into robust technical workflows.
• Ensure version control using GitHub and participate in regular code reviews.
• Use Jupyter Notebooks to prototype, validate, and explain model behaviors and outputs to stakeholders.
• Troubleshoot issues related to data integration, package configuration, and authorization handling.

Required Qualifications:

• 5+ years of hands-on Python development experience, preferably in data science, financial modeling, or analytics environments.
• Strong proficiency in Python libraries such as pandas, numpy, scikit-learn, etc.
• Experience with GitHub, Jupyter Notebooks, and AWS services (e.g., S3, Lambda, EC2).
• Proficiency in working with Snowflake or other cloud-based data warehouses.
• Excellent problem-solving skills and ability to operate independently in a fast-paced environment.
• Strong communication skills and ability to work effectively with cross-functional teams.

Preferred Qualifications:

• Prior experience implementing or supporting credit risk models or allowance/CECL processes.
• Familiarity with model validation, regulatory modeling environments, or financial services.
• Experience working with CI/CD pipelines or productionizing model workflows in enterprise environments.

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