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Credit Risk Modeler Jobs (NOW HIRING)

DRW

Credit Risk Analyst

New York, NY · On-site

$90K - $140K/yr

Analyze and manage counterparty credit risk * Monitor daily trading activity according to ... Strong understanding of credit rating models and credit analysis * Must have excellent written and ...

BMO Financial

Credit Risk Model Validation

Chicago, IL · On-site

Audit, Risk & Compliance BMO is seeking an experienced professional to join the Model Risk Management Team as Manager, Credit Risk Model Validation . This role is part of the second-line governance ...

Citigroup, Inc.

Credit Risk Senior Officer I

Irving, TX · On-site

$173.70K/yr

Citibank, N.A. seeks a Credit Risk Senior Officer I for its Irving, Texas location. Duties ... As Model Sponsor, engage with Model Developer team to develop or update internal Risk Rating Models.

Citigroup Inc

Credit Risk Senior Officer I

Irving, TX · Hybrid

$173.70K/yr

Citibank, N.A. seeks a Credit Risk Senior Officer I for its Irving, Texas location. Duties ... As Model Sponsor, engage with Model Developer team to develop or update internal Risk Rating Models.

Regional Finance

Director Credit Risk

Plano, TX · On-site

Mine, model, analyze large datasets, and utilize predictive modeling techniques with an emphasis on optimizing credit risk and marketing campaign performance using the following predictive modeling ...

Regional Finance

Director Credit Risk

Plano, TX · On-site

Mine, model, analyze large datasets, and utilize predictive modeling techniques with an emphasis on optimizing credit risk and marketing campaign performance using the following predictive modeling ...

Regional Finance Corp

Director Credit Risk

Plano, TX

Mine, model, analyze large datasets, and utilize predictive modeling techniques with an emphasis on optimizing credit risk and marketing campaign performance using the following predictive modeling ...

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Credit Risk Modeler information

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$124.5K

$145.1K

$187.5K

How much do credit risk modeler jobs pay per year?

As of May 29, 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
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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 May 2026, with employment types broken down into 100% Part Time. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $145,100 per year, or $69.8 per hour.

Manager, Credit Risk & Portfolio Analytics

Artius Solutions

Chicago, IL • On-site

Full-time

Posted 17 days ago

Job description

Manager, Credit Risk & Portfolio Analytics

Location: Chicago, IL (Hybrid)
Employment Type: Full-Time

Overview

Our client, a large and well-established financial services organization based in Chicago, is seeking a Manager, Markets Credit to lead credit risk oversight across mortgage-related assets and fixed income investment portfolios.

This role will manage a team responsible for developing and maintaining credit risk models, performing scenario analysis and stress testing, and monitoring portfolio risk trends. The position will also collaborate closely with cross-functional teams to support investment strategies, product development initiatives, and regulatory compliance efforts.

The ideal candidate is a strong analytical leader with experience in credit risk modeling, mortgage or structured finance exposure, and a track record of leading high-performing analytical teams.

Key ResponsibilitiesCredit Risk Oversight

  • Oversee the monitoring and analysis of credit risk exposures within mortgage-related and investment portfolios.

  • Identify emerging risk trends and provide insights into portfolio performance and risk concentrations.

  • Ensure risk management frameworks support sound portfolio management and investment decision-making.

Credit Modeling & Analytics

  • Lead the development and maintenance of credit risk models including prepayment, default, and loss forecasting models.

  • Manage model assumptions, calibration, validation support, and performance monitoring.

  • Conduct model back-testing and benchmarking to evaluate model effectiveness and recommend improvements.

  • Design analytical tools and risk frameworks to evaluate credit enhancement adequacy and portfolio resilience.

Stress Testing & Scenario Analysis

  • Lead scenario analysis and macroeconomic stress testing across mortgage and investment portfolios.

  • Evaluate portfolio sensitivity to changing market conditions and economic variables.

  • Present findings and recommendations to senior stakeholders.

Regulatory & Governance Collaboration

  • Partner with model validation teams, internal audit, and regulatory stakeholders to ensure models and processes meet governance requirements.

  • Support regulatory reporting and model documentation standards.

Data & Process Innovation

  • Identify opportunities to enhance risk monitoring through advanced analytics, automation, and improved data infrastructure.

  • Lead initiatives that improve analytical efficiency and portfolio risk transparency.

Team Leadership & Stakeholder Collaboration

  • Lead and develop a team of credit risk analysts and quantitative professionals.

  • Provide mentorship, performance management, and guidance on analytical methodologies.

  • Build strong partnerships with internal teams including finance, treasury, operations, legal, and risk management.

QualificationsEducation

  • Bachelor’s degree in Mathematics, Finance, Economics, Statistics, Computer Science, or a related quantitative discipline

  • Master’s degree preferred

Certifications (Preferred)

  • CFA or FRM designation or candidacy

Experience

  • 5+ years of experience in credit risk modeling, quantitative analytics, or financial risk management

  • 2+ years of people management experience

  • Experience working with mortgage assets, fixed income securities, or structured finance portfolios

Technical Skills

  • Strong experience developing predictive statistical models and analytical frameworks

  • Proficiency with SQL, Python, or R

  • Experience with business intelligence and analytics tools such as Tableau or Alteryx

  • Strong data analysis and modeling capabilities

Risk & Regulatory Knowledge

  • Familiarity with credit risk management frameworks and model governance

  • Experience supporting model validation, regulatory reviews, or audit processes

  • Understanding of mortgage lending, underwriting, or servicing processes is a plus

Leadership & Communication

  • Ability to lead and develop analytical teams

  • Strong stakeholder communication and presentation skills

  • Ability to translate complex analytical findings into actionable insights for business leaders

  • Strong problem-solving and critical thinking skills

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