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Risk Model Developer Jobs (NOW HIRING)

Sallie_mae

Manager, Model Risk

Newark, DE

Provide independent effective challenge to model developers, owners, and users and assess whether ... Partner with model development, risk, finance, technology, and business teams while maintaining ...

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As of Sep 10, 2026, the average hourly pay for risk model developer in the United States is $60.02, according to ZipRecruiter salary data. Most workers in this role earn between $54.57 and $71.15 per hour, depending on experience, location, and employer.

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Infographic showing various Risk Model Developer job openings in the United States as of September 2026, with employment types broken down into 14% Internship, 58% Full Time, 14% Part Time, and 14% Temporary. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $124,843 per year, or $60 per hour.

Credit Model Developer [Must have credit risk model (PD, LGD, EAD, ALLL)] - New York, NY/On-Site

York, NY • On-site

STI
See more jobs at STIexternal

Full-time

Re-posted 27 days ago

Job description

Job Title: Credit Model Developer
Location: New York, USA/On-Site
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.

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