

Python Developer with Banking Experience
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer with Banking Experience, offering a 12-month remote contract at an undisclosed pay rate. Requires 5+ years in Python development, proficiency in AWS and Snowflake, and experience with credit risk models preferred.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 11, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#Pandas #Python #Batch #S3 (Amazon Simple Storage Service) #Cloud #Data Warehouse #Snowflake #EC2 #Version Control #NumPy #GitHub #Lambda (AWS Lambda) #Data Integration #Data Science #Jupyter #Model Validation #Code Reviews #AWS (Amazon Web Services) #Libraries
Role description
Job Title: Python Developer
Location: Remote
Duration:12 months
Key Responsibilities:
β’ Develop and maintain Python code to implement existing credit models into Flagstarβs production environment.
β’ Build scripts for sensitivity analysis, segmentation logic, batch execution, and other analytical processes surrounding the models.
β’ Set up and manage connections to internal and external data sources (e.g., Snowflake, AWS).
β’ Package models and supporting code into reproducible units, managing dependencies, libraries, and environment configurations.
β’ Collaborate with business and risk teams to understand modeling requirements and translate them into robust technical workflows.
β’ Ensure version control using GitHub and participate in regular code reviews.
β’ Use Jupyter Notebooks to prototype, validate, and explain model behaviors and outputs to stakeholders.
β’ Troubleshoot issues related to data integration, package configuration, and authorization handling.
Required Qualifications:
β’ 5+ years of hands-on Python development experience, preferably in data science, financial modeling, or analytics environments.
β’ Strong proficiency in Python libraries such as pandas, numpy, scikit-learn, etc.
β’ Experience with GitHub, Jupyter Notebooks, and AWS services (e.g., S3, Lambda, EC2).
β’ Proficiency in working with Snowflake or other cloud-based data warehouses.
β’ Excellent problem-solving skills and ability to operate independently in a fast-paced environment.
β’ Strong communication skills and ability to work effectively with cross-functional teams.
Preferred Qualifications:
β’ Prior experience implementing or supporting credit risk models or allowance/CECL processes.
β’ Familiarity with model validation, regulatory modeling environments, or financial services.
β’ Experience working with CI/CD pipelines or productionizing model workflows in enterprise environments.
Job Title: Python Developer
Location: Remote
Duration:12 months
Key Responsibilities:
β’ Develop and maintain Python code to implement existing credit models into Flagstarβs production environment.
β’ Build scripts for sensitivity analysis, segmentation logic, batch execution, and other analytical processes surrounding the models.
β’ Set up and manage connections to internal and external data sources (e.g., Snowflake, AWS).
β’ Package models and supporting code into reproducible units, managing dependencies, libraries, and environment configurations.
β’ Collaborate with business and risk teams to understand modeling requirements and translate them into robust technical workflows.
β’ Ensure version control using GitHub and participate in regular code reviews.
β’ Use Jupyter Notebooks to prototype, validate, and explain model behaviors and outputs to stakeholders.
β’ Troubleshoot issues related to data integration, package configuration, and authorization handling.
Required Qualifications:
β’ 5+ years of hands-on Python development experience, preferably in data science, financial modeling, or analytics environments.
β’ Strong proficiency in Python libraries such as pandas, numpy, scikit-learn, etc.
β’ Experience with GitHub, Jupyter Notebooks, and AWS services (e.g., S3, Lambda, EC2).
β’ Proficiency in working with Snowflake or other cloud-based data warehouses.
β’ Excellent problem-solving skills and ability to operate independently in a fast-paced environment.
β’ Strong communication skills and ability to work effectively with cross-functional teams.
Preferred Qualifications:
β’ Prior experience implementing or supporting credit risk models or allowance/CECL processes.
β’ Familiarity with model validation, regulatory modeling environments, or financial services.
β’ Experience working with CI/CD pipelines or productionizing model workflows in enterprise environments.