Python Developer jobs in United States

Bachelors in Computer Application(Computers)

Nationality

Any Nationality

Vacancy

1 Vacancy

Job Description

Job Overview
The Credit Risk Model Developer - Python/SAS - FAB GBS India will independently manage the model development lifecycle from data preparation to documentation. The candidate will act as a subject matter expert on model techniques and governance, while supporting the VP of Model Development and collaborating with teams across regions on implementation and validation.

Key Responsibilities

* Develop credit risk models for regulatory (Basel, IFRS9, stress testing) and operational (application, behavior, collections) portfolios
* Execute tasks such as data extraction, feature engineering, model training, back-testing, and statistical evaluation
* Maintain complete model documentation, including assumptions, limitations, and performance metrics
* Manage and automate code, versioning, and repository structures in line with internal model governance policies
* Work on remediation of validation or monitoring findings with accurate and timely enhancements
* Mentor junior team members on model development, statistical methods, and credit risk concepts
* Perform UAT and provide implementation support to deployment teams
* Create analytical datasets from structured/unstructured data using SQL, NoSQL, or cloud platforms
* Contribute to the development of tools that automate model testing and risk analytics workflows
* Participate in knowledge sharing, code reviews, and team upskilling

Job Requirements

* Bachelor s or Master s degree in statistics, mathematics, engineering, economics, or a quantitative field
* 2 to 5 years of experience in model development within banking or financial services
* Strong hands-on experience in Python (preferred) and/or SAS/R
* Proven experience with statistical and machine learning models (e.g., logistic regression, XGBoost, random forest)
* Knowledge of regulatory frameworks such as Basel, IFRS9, or stress testing
* Strong SQL skills and familiarity with data engineering best practices
* Excellent written and verbal communication for cross-functional collaboration
* Familiarity with Git, code versioning, and model validation processes
* Exposure to cloud platforms such as AWS SageMaker is a plus
* Risk certifications like FRM or CFA (Level 1) are advantageous

Company Industry

• Banking
• Broking

Department / Functional Area

• IT Software

Keywords

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