Credit Model Developer

Credit Model Developer

Location: New York, USA

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

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.