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Credit Risk Modeler Jobs (NOW HIRING)

Inizio Partners

Credit Risk Modeler

San Jose, CA · Hybrid

Credit Risk Modeler San Jose, California, United States Or refer someone Job Openings Credit Risk Modeler About the Job Credit Risk Modeler Role: Senior Consultant - Credit Risk Modeler Type: Hybrid ...

PSECU

Credit Risk Analyst

Harrisburg, PA

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 ...

Genworth

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 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
What cities are hiring for Credit Risk Modeler jobs? Cities with the most Credit Risk Modeler job openings:
What states have the most Credit Risk Modeler jobs? States with the most job openings for Credit Risk Modeler jobs include:
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.

Credit Risk Modeler

Inizio Partners

San Jose, CA • Hybrid

Full-time

Posted 24 days ago

Job description

Credit Risk Modeler

San Jose, California, United States Or refer someone Job Openings Credit Risk Modeler

About the Job Credit Risk Modeler

Role: Senior Consultant - Credit Risk Modeler

Type: Hybrid (3 days/week from office)

Location: San Jose, CA or Chicago, IL

Compensation: $130k - $170k (depending on experience) + 12% bonus

Role Overview:

  • Emphasis is on coordinating & driving end to end delivery of project workstreams
  • Coordination with partner teams including senior leadership for alignments
  • Ownership of overall timelines and incorporation of feedback
  • Structure analytical solution when required, to address business objectives
  • Provide business acumen and hypothesis
  • Effectively guide the team around problem structuring and use of analytics (tools and techniques) to carry out analysis
  • Presenting work directly to clients as required
  • Liaison and build relationships with the client

Responsibilities:

  • Project task management
  • Stakeholder management including senior leadership (VP+)
  • Communications, including deck writing
  • Coordination of all sub-team efforts
  • Delivery of output
  • Facilitation and gathering of client feedback on problem structuring
  • Effective management of frequency of feedback loop with offshore resources
  • Build capabilities in junior team members

Qualifications:

  • Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
  • 4-6 years of experience in Risk management processes, Credit strategy and modeling using Machine Learning modeling techniques
  • Technical Skills Required: Hive, PySpark, SQL, Python
  • Must have experience in development of Credit Risk models (probability of default, exposure at default, loss given default models etc) in alignment with internal and regulatory standards
  • Must be familiar with performing back testing and model performance tracking to ensure ongoing predictive accuracy and stability
  • Superior analytical and problem solving skills
  • Willingness to take initiative
  • Strong program management skills and ability to think abstractly deal with ambiguous/use defined problems
  • Proficient in executive level communications creating slides, decks and building data dashboards
  • Outstanding written and verbal communication skills

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