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Credit Risk Modeler Jobs (NOW HIRING)

IDBNY

Credit Risk Analytics & Modeling

Manhattan, NY · On-site

Head of Credit Risk Analytics & Modeling Visa Sponsorship: Not available About IDB Bank For more than 70 years, IDB Bank has been committed to delivering exceptional service and building long-term ...

PSECU

Credit Risk Analyst

Harrisburg, PA · On-site

Analyzes effectiveness of credit risk models and strategies and provides insights and recommendations to leadership. Participates in projects impacting Credit Risk Management. Identifies and ...

PSECU

Credit Risk Analyst

Harrisburg, PA · On-site

Analyzes effectiveness of credit risk models and strategies and provides insights and recommendations to leadership. Participates in projects impacting Credit Risk Management. Identifies and ...

Genworth Financial

Credit Risk Analyst

Raleigh, NC · Hybrid

In this role, you will provide insights and expertise in model development and quantitative analysis of credit risk across primary and structured credit insurance opportunities. You are responsible ...

Gnw

Credit Risk Analyst

Raleigh, NC · Hybrid

In this role, you will provide insights and expertise in model development and quantitative analysis of credit risk across primary and structured credit insurance opportunities. You are responsible ...

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$124.5K

$145.1K

$187.5K

How much do credit risk modeler jobs pay per year?

As of Jun 19, 2026, the average yearly pay for credit risk modeler in the United States is $145,100.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,500.00 and $148,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Credit Risk Modeler, and why are they important?

To thrive as a Credit Risk Modeler, you need a solid background in quantitative finance, statistics, and data analysis, often supported by a degree in mathematics, finance, or a related field. Familiarity with programming languages such as Python, R, or SAS, as well as experience with risk modeling frameworks and regulatory requirements like Basel III, is typically required. Strong analytical thinking, attention to detail, and effective communication make a candidate stand out in this role. These skills are crucial for accurately predicting credit risk, ensuring regulatory compliance, and supporting informed decision-making in financial institutions.

How does a Credit Risk Modeler typically collaborate with other departments within a financial institution?

Credit Risk Modelers frequently work alongside data scientists, underwriters, compliance teams, and business analysts to develop and refine risk assessment models. Collaboration with IT teams is common for implementing models into production systems, while regular interaction with regulatory and compliance groups ensures models meet legal standards. Effective communication with stakeholders is essential to translate technical findings into actionable business strategies, making cross-functional teamwork a key part of the role.

What does a Credit Risk Modeler do?

A Credit Risk Modeler is responsible for developing statistical models and analytical tools to assess the likelihood that borrowers will default on their loans or credit obligations. They use data analysis, statistical techniques, and machine learning algorithms to predict credit risk and help financial institutions make informed lending decisions. Their work involves gathering and cleaning data, building predictive models, validating model performance, and ensuring compliance with regulatory standards. Credit Risk Modelers play a crucial role in managing a bank's or lender's exposure to financial risk and maintaining a healthy loan portfolio.

What is the difference between Credit Risk Modeler vs Credit Analyst?

AspectCredit Risk ModelerCredit Analyst
Required CredentialsBachelor's degree in finance, economics, or related field; often certifications like FRM or CFABachelor's degree in finance, accounting, or related field; certifications like CFA are common
Work EnvironmentQuantitative teams, risk management departments, financial institutionsBank branches, lending departments, credit departments
Employer & Industry UsageFinancial institutions, banks, credit agenciesBanks, lending companies, credit bureaus

The main difference is that Credit Risk Modelers develop statistical models to assess and predict credit risk, focusing on quantitative analysis. Credit Analysts evaluate individual creditworthiness of borrowers, primarily through financial statement analysis and credit reports. Both roles require financial knowledge, but Modelers are more data and model-focused, while Analysts are more client and credit evaluation-focused.

More about Credit Risk Modeler jobs
What cities are hiring for Credit Risk Modeler jobs? Cities with the most Credit Risk Modeler job openings:
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What job categories do people searching Credit Risk Modeler jobs look for? The top searched job categories for Credit Risk Modeler jobs are:
What are popular job titles related to Credit Risk Modeler jobs? For Credit Risk Modeler jobs, the most frequently searched job titles are:
Credit Risk Modeler jobs near you
Infographic showing various Credit Risk Modeler job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $145,100 per year, or $69.8 per hour.

Credit Risk Model Owner

BizTek People, Inc. | APA International Placement Consultants

Manhattan, NY • On-site

Full-time

Posted 10 days ago

Job description

Job Description
An iInternational banking organization seeks Analyst or Associate level of Credit Risk Model Owner to serve as local model owner to monitor and manage credit risk related models for the Bank's
Responsibilities: Delivery
• Conduct model performance monitoring based on monitoring plan and subsequent revisions, communicate with team leads, model validation team, model users and other stakeholders
• Maintain the An iit risk related model inventories, work with model validators to prepare the model documentation package, model attestation, etc.
• Address model risk findings which are issued by model validation group and internal audit generally
• Develop internal credit risk models collaborating with Tokyo Head Office, Model Validation team and/or external vendors
• Periodic monitoring on the use of credit models to identify and examine the need for enhancements of the models and their user guidance including training to model users
• Enhance model management, governance processes and model documentation standards to improve efficiency and accuracy of model validation process
Interpersonal Objectives:
• Communicate with various model stakeholders, including model users, model validators and internal auditors across the bank including Tokyo Head Office
• Report to team leads and senior management and also lead and train junior members
• Recommend enhancements to data management process to improve efficiency and accuracy of ongoing performance monitoring
• Consider the best approach to address the issues and feedback from model users
• Make presentations to senior management and regulators about credit risk related models and make trainings to model users
Requirements
  • Strong knowledge of Model RiskManagement framework, regulation and industry practice (Experience relatedto Credit Risk Rating Model is better)
  • Good experience and knowledge asCredit Risk Model Owner including developing credit rating models anddocumentation
  • Strong presentation skills tocreate visualized charts/materials for readers including regulators andsenior management
  • Demonstrated ability to workindependently and successfully manage multiple priorities and stakeholdersunder pressure
  • Ability to communicateappropriately at different levels of the organization to buildcollaborative relationships

Skills
  • Minimum work experience in modelrisk management of two years or more such as either model developer, modelvalidator or both (experience related to credit risk rating models ishighly desirable)
  • Major inProbability/Statistics/Financial Mathematics/Computer Science preferred
  • Master Degree/CFA/FRM preferred
  • Highly desirable technical andquantitative analysis skills with statistic knowledge and with technicalknowledge such as using Excel (VBA), MS Access, SQL, SAS and Python.
  • Excellent interpersonal andwritten and verbal communication skills
  • Japanese language skill a plus

Benefits
Good benefits

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