Credit Risk Model Developer - Python & PySpark (NY On-Site)

STI; New York (NY); On-site; USD 80,000 - 120,000; Full time

Job summary

STI in New York is looking for a Credit Model Developer with strong expertise in Python and PySpark. As a developer, you will create and enhance credit risk models (PD, LGD, EAD, ALLL) and work in collaboration with quantitative teams.

The ideal candidate will possess a solid background in Statistics, Mathematics, or a related field, along with proven experience in the development of credit risk models and an understanding of rating models within the financial sector.

Qualifications

• Hands-on experience with Python and PySpark is mandatory.
• Degree in a quantitative field is required.
• Experience in credit risk model development focusing on PD, LGD, EAD, ALLL.

Responsibilities

• Develop and implement credit risk models using Python and PySpark.
• Collaborate with quantitative teams for model validation and testing.
• Perform statistical analysis and monitor model performance.
• Translate business and regulatory requirements into model specifications.

Skills

Python

PySpark

Statistical analysis

Model calibration

Quantitative analysis

Education

Degree in Statistics, Mathematics, Financial Engineering or related field

Job description

STI in New York is looking for a Credit Model Developer with strong expertise in Python and PySpark. As a developer, you will create and enhance credit risk models (PD, LGD, EAD, ALLL) and work in collaboration with quantitative teams.

The ideal candidate will possess a solid background in Statistics, Mathematics, or a related field, along with proven experience in the development of credit risk models and an understanding of rating models within the financial sector.