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Credit Risk Modeling Jobs (NOW HIRING)

Careers at KKR

VP, Credit Risk Modeling

New York, NY · On-site

$160K - $175K/yr

Build and own portfolio credit risk models that quantify tail losses from default and rating migration across asset classes * Develop a credit risk framework: calibrate transition matrices, model ...

KKR

VP, Credit Risk Modeling

Manhattan, NY · On-site

$160K - $175K/yr

VP, Credit Risk Modeling New York, New York, United States KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR ...

Careers at KKR

VP, Credit Risk Modeling

New York, NY · On-site

$160K - $175K/yr

Build and own portfolio credit risk models that quantify tail losses from default and rating migration across asset classes * Develop a credit risk framework: calibrate transition matrices, model ...

RBFCU Insurance Agency LLC

WI · On-site

$110 - $150/hr

Senior Credit Risk Modeling Analyst will have the ability to work a hybrid schedule (remote/onsite) after a period of training (time frame may vary). Training will take place at the RBFCU ...

New

CU Ninjas

WI · On-site

$100 - $150/hr

Senior Credit Risk Modeling Analyst will have the ability to work a hybrid schedule (remote/onsite) after a period of training (time frame may vary). Training will take place at the RBFCU ...

New

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 ...

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Credit Risk Modeling information

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$124.5K

$145.1K

$187.5K

How much do credit risk modeling jobs pay per year?

As of Aug 21, 2026, the average yearly pay for credit risk modeling 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 is credit risk modeling?

A Credit Risk Modeling job involves developing statistical models and analytical techniques to assess the credit risk of individuals or businesses. Professionals in this role analyze financial data, borrower behavior, and economic trends to predict the likelihood of default and assist in making informed lending decisions. They use techniques such as logistic regression, machine learning, and Monte Carlo simulations to quantify risk. Credit risk modelers work closely with risk management teams, regulators, and financial institutions to ensure compliance with industry standards. Their insights help optimize loan approvals, set credit limits, and manage overall portfolio risk.

What are the typical daily responsibilities in credit risk modeling?

Professionals in Credit Risk Modeling spend their days developing and validating statistical models to assess the likelihood of credit defaults, analyzing large data sets to identify risk factors, and compiling detailed reports on their findings. They collaborate closely with data scientists, underwriters, credit analysts, and sometimes regulatory teams to ensure models meet business and compliance standards. Additionally, they often participate in meetings to discuss portfolio performance or proposed policy changes. This role involves a balance of technical analysis, documentation, and cross-functional communication, making it dynamic and integral to financial decision-making.

What are the key skills and qualifications needed to thrive in credit risk modeling?

To thrive in Credit Risk Modeling, you need strong analytical skills, proficiency in statistics and finance, and typically a degree in mathematics, statistics, economics, or a related field. Familiarity with programming languages like Python, R, or SAS, as well as experience using statistical modeling software and risk management platforms, are highly valued. Excellent communication, critical thinking, and collaborative abilities help translate complex data insights for stakeholders and work effectively within cross-functional teams. These skills are crucial for designing accurate risk models that inform sound lending decisions and maintain financial stability for organizations.

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Credit Risk Modeling jobs near you
Infographic showing various Credit Risk Modeling job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $145,100 per year, or $69.8 per hour.

VP, Credit Risk Modeling

Growth Equity Interview Guide

Manhattan, NY • On-site

$250 - $450/hr

Other

Posted 16 days ago

Job description

The VP of Credit Risk Modeling at KKR will play a crucial role in developing and implementing credit risk models. This position requires a strong analytical background and the ability to communicate insights effectively. You will work closely with various teams to enhance risk management strategies and contribute to the firm’s overall success.

What You’ll Do
  • Lead the development of credit risk models to assess portfolio risk.
  • Collaborate with cross-functional teams to implement risk strategies.
  • Analyze data to identify trends and potential risks.
  • Present findings and recommendations to senior management.
  • Continuously improve modeling processes and methodologies.
What You Need
  • Strong background in credit risk modeling and analytics.
  • Experience with statistical modeling techniques and tools.
  • Ability to interpret complex data and provide actionable insights.
  • Excellent communication skills for presenting findings to stakeholders.
  • Proficiency in programming languages such as Python or R.
  • Experience in financial services or investment management is a plus.
What You’ll Love
  • Work in a dynamic and collaborative environment.
  • Opportunity to influence key business decisions.
  • Access to professional development and training resources.
  • Competitive compensation and benefits package.
About the Firm
  • KKR is a leading global investment firm founded in 1976.
  • They focus on delivering better outcomes for clients through innovative solutions.
  • The firm values sustainability and shared success.
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