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Credit Risk Modeler Jobs in Texas (NOW HIRING)

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 ...

Regent Bank

Sr. Credit Analyst

Frisco, TX · On-site

Experience with credit risk modeling and statistical analysis. Responsibilities: * Conduct comprehensive financial analysis of clients to assess credit risk and determine credit limits. * Review and ...

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All JobsCredit Risk Modeler JobsCredit Risk Modeler Jobs in Texas

Credit Risk Modeler information

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$112K

$130.5K

$168.6K

How much do credit risk modeler jobs pay per year?

As of Jun 19, 2026, the average yearly pay for credit risk modeler in Texas is $130,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,200.00 and $133,600.00 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.

What are popular job titles related to Credit Risk Modeler jobs in Texas? For Credit Risk Modeler jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Credit Risk Modeler jobs in Texas look for? The top searched job categories for Credit Risk Modeler jobs in Texas are:
What are popular job titles related to Credit Risk Modeler jobs in TX? For Credit Risk Modeler jobs in TX, the most frequently searched job titles are:
Credit Risk Modeler jobs near you

Senior Credit Risk Modeling Analyst

TriQuest Business Services

San Antonio, TX • Hybrid

$115K/yr

Other

Posted 15 days ago

Job description

Job Title: Senior Credit Risk Modeling Analyst

Location: San Antonio, TX (Hybrid)
Salary: $115,000
Industry: Financial Services / Credit Risk

About the Role

We are seeking a highly analytical Senior Credit Risk Modeling Analyst to help build and lead the next generation of credit underwriting models within a growing financial institution. This is a ground-floor opportunity to bring credit risk modeling in-house, moving the organization from reporting-focused analytics to advanced, data-driven decisioning.

You will serve as the subject matter expert on a small team, owning the full model lifecycle-from development and validation to monitoring and optimization-while helping elevate the team's overall modeling capabilities.

Key Responsibilities

Model Development & Strategy

  • Design and develop credit risk models for loan underwriting using internal and external data
  • Lead major model refresh initiatives using historical application and performance data
  • Build decision-tree and predictive models to improve approval strategies and risk outcomes

Model Lifecycle Ownership

  • Own end-to-end model lifecycle: development, documentation, validation, and deployment
  • Monitor model performance and identify trends or deviations from expectations
  • Recommend and implement enhancements based on performance insights

Data & Tools

  • Work within Databricks using SQL and Python for data extraction, transformation, and modeling
  • Integrate internal datasets with third-party data sources (e.g., Experian)
  • Support model deployment within external platforms (e.g., PCOE / Strategy Design Studio)

Collaboration & Stakeholder Engagement

  • Partner with analysts to support reporting, testing, and monitoring efforts
  • Work with audit, risk, and leadership teams to defend model assumptions and decisions
  • Collaborate with external vendors on model implementation and optimization
  • Communicate complex modeling concepts to both technical and non-technical stakeholders
Qualifications
  • Bachelor's degree in Finance, Statistics, or a quantitative field (Master's preferred)
  • 5+ years of experience in credit risk modeling or similar quantitative role
  • Hands-on experience building and validating credit risk or underwriting models
  • Strong experience with SQL and Python (R or other tools a plus)
  • Experience working in a regulated financial environment (bank or credit union preferred)
  • Ability to explain and defend models under audit and regulatory review
  • Strong analytical thinking and problem-solving skills
Preferred Experience
  • Experience with Experian PCOE / Strategy Design Studio
  • Exposure to CECL or credit loss modeling frameworks
  • Experience integrating third-party credit bureau data into models
  • Background working with Databricks or similar data platforms
Work Environment & Culture
  • Hybrid schedule (~30% onsite; team works in-office on designated weeks)
  • Collaborative, high-growth environment with a small, developing team
  • Leadership style is hands-off, with strong support for removing roadblocks
  • Opportunity to shape and expand the organization's credit risk modeling function

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