Job Title: Credit Model Developer

Location: New York, USA

Interview Process: 2 Rounds – 1 Virtual & 1 Face-to-Face

Duration: Contract 

Job Summary:

We are seeking a skilled Credit Model Developer with strong expertise in Python and PySpark, coupled with a solid statistical or quantitative background. The ideal candidate will have experience in credit risk model development (PD, LGD, EAD, ALLL) and a deep understanding of rating models used in financial institutions.

Key Responsibilities:

•     Develop, enhance, and implement credit risk models (PD, LGD, EAD, ALLL) using Python and PySpark.

•     Work closely with quantitative teams to design, test, and validate model frameworks.

•     Perform statistical analysis, model calibration, and performance monitoring.

•     Collaborate with business and risk teams to translate regulatory and business requirements into model specifications.

•     Prepare documentation and support internal/external model reviews.

Required Skills & Qualifications:

•     Strong programming skills: Python and PySpark (hands-on experience required).

•     Quantitative / Statistical background – degree in Statistics, Mathematics, Engineering, Financial Engineering, or related field.

•     Proven experience in credit risk model development (PD, LGD, EAD, ALLL).

•     Experience working on rating models within financial or banking domains.

•     Note: This role focuses on model development — model validators are not required.

Nice to Have:

•     Experience with regulatory model frameworks and governance processes.

•     Familiarity with large-scale data environments and distributed computing.