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Credit Risk Model Validation Jobs in Texas (NOW HIRING)

PNC Bank

Consumer Credit Expert - Mortgage

Dallas, TX

... model validation, testing, maintenance) by ensuring the appropriate resources are in place to ... Managing Risk - Assessing and effectively managing all of the risks associated with their business ...

Frost Bank

Model Validation Analyst II

San Antonio, TX · On-site

In this role, you monitor and validate aggregate model risk in alignment with Frost's risk strategy. You will provide recommendations on how to adjust model risk. By turning data into insights, you ...

Frost Bank

Model Validation Analyst II

San Antonio, TX · On-site

In this role, you monitor and validate aggregate model risk in alignment with Frost's risk strategy. You will provide recommendations on how to adjust model risk. By turning data into insights, you ...

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Credit Risk Model Validation information

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$34.5K

$106.1K

$184K

How much do credit risk model validation jobs pay per year?

As of Jul 6, 2026, the average yearly pay for credit risk model validation in Texas is $106,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,900.00 and $130,900.00 per year, depending on experience, location, and employer.

What is credit risk model validation?

Credit risk model validation is the process of ensuring that models used to assess the creditworthiness of borrowers are accurate, reliable, and compliant with regulatory standards. This involves independent review and testing of the model's design, data, assumptions, and performance. The goal is to identify any weaknesses or limitations that could affect the model's ability to predict credit risk, reduce financial losses, and maintain regulatory compliance. Model validation is typically performed by specialists who are not involved in the model's development to ensure objectivity.

What are the key skills and qualifications needed to thrive in Credit Risk Model Validation, and why are they important?

To thrive in Credit Risk Model Validation, you need a strong background in quantitative finance, statistics, and risk management, usually supported by a relevant degree such as in mathematics, finance, or engineering. Familiarity with statistical programming languages (such as Python, R, or SAS), model validation frameworks, and regulatory guidelines like Basel accords is crucial. Attention to detail, critical thinking, and clear communication skills help you effectively analyze models and convey complex findings to stakeholders. These competencies are vital for ensuring accurate risk assessment, regulatory compliance, and the robustness of financial institutions' credit risk models.

What is the difference between Credit Risk Model Validation vs Credit Risk Analyst?

AspectCredit Risk Model ValidationCredit Risk Analyst
Primary FocusAssessing and validating the accuracy of credit risk modelsAnalyzing credit data to assess borrower risk and support lending decisions
Skills & CertificationsStatistical, quantitative skills; certifications like FRM or CFA often preferredFinancial analysis skills; relevant certifications like CFA or credit-specific training
Work EnvironmentQuantitative teams within risk management or model validation unitsCredit departments, lending teams, or risk management units

While both roles involve credit risk, Credit Risk Model Validation focuses on testing and validating models' accuracy, whereas Credit Risk Analysts evaluate individual creditworthiness to inform lending decisions. The validation role is more technical and model-focused, while analysts work directly with credit data and client assessments.

What are some common challenges faced by professionals in Credit Risk Model Validation roles?

Professionals in Credit Risk Model Validation often encounter challenges such as staying up-to-date with evolving regulatory requirements and ensuring models remain compliant. They must also navigate the complexities of validating models that use advanced statistical techniques or machine learning, which requires both technical expertise and a thorough understanding of the underlying business context. Additionally, clear communication with stakeholders—like model developers, auditors, and risk managers—is essential to address findings and recommend improvements effectively. Managing tight deadlines and balancing multiple validation projects simultaneously can also be demanding.
What are popular job titles related to Credit Risk Model Validation jobs in Texas? For Credit Risk Model Validation jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Credit Risk Model Validation jobs in Texas look for? The top searched job categories for Credit Risk Model Validation jobs in Texas are:
Credit Risk Model Validation jobs near you
Risk Analyst II - Credit Risk Analytics

Risk Analyst II - Credit Risk Analytics

GM Financial

Fort Worth, TX • On-site

Full-time

Retirement

Posted yesterday

GM Financial rating

7.9

Company rating: 7.9 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

63rd of 146 rated vehicle equipment hire

Job description


Why Credit Risk Analytics?
GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses.
At GM Financial, our team members define and shape our culture - an environment that welcomes new ideas, fosters integrity and creates a sense of community and belonging. Here we do more than work - we thrive.
Our Purpose: We pioneer the innovations that move and connect people to what matters
About the role:
Risk Analyst II - Credit Risk Analytics is responsible for analyzing credit risk exposure related to consumer and commercial loan and lease acquisition activities. The position involves conducting analysis to mitigate credit risk, create and monitor credit policy, measure credit execution and credit structure. In addition, this position will be responsible for monitoring credit performance by region, credit center, and dealership.
Responsibilities
In this role, you will:
  • Utilize data mining and advanced spreadsheet skills to quantify credit risk related to loan and lease origination activities
  • Summarize findings, develop recommendations and present analyses to management in a clear, concise, convincing, and actionable format
  • Employ best practices of data analysis and validation to ensure data results are accurate
  • Assist in the creation, maintenance and monitoring of origination credit policies, procedures and lending stipulations
  • Understand how change to origination credit policy and lending environment can impact loan/lease volume as well as overall credit performance
  • Proactively monitor and report relevant changes in origination trends and portfolio performance to management
  • Conduct ad hoc research projects incorporating project design, data collection and analysis, summarization of finding, and presentation of results

Qualifications
What makes you an ideal candidate?
  • Demonstrated understanding of data warehouses, data mining, reporting, data analysis and data visualization techniques
  • Advanced with Microsoft Excel, PowerPoint, and Word
  • Experience with respect to data analysis and spreadsheet modeling and/or reporting
  • Experience with coding (SAS or SQL preferred) for data mining and manipulation
  • Querying skills and knowledge in a data warehouse environment
  • Demonstrated quantitative skills
  • Ability to interact collaboratively and proactively with internal customers
  • Capable of managing multiple projects, including ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure, meeting deadlines
  • Understanding the metrics utilized in monitoring the performance of a consumer or commercial lending portfolio is a plus

Experience:
  • 2-4 years' experience working with complex Excel workbooks, querying large multi-table datasets, data analysis, and data presentation; the qualified candidate will also be able to demonstrate proficiency with the following tools: SAS and/or SQL, Microsoft Excel, PowerPoint, and Word Req
  • 2-4 years' experience in consumer and/or commercial loan and lease origination analysis Pref
  • Bachelor's Degree Finance, Economics, Mathematics, Business, Business Analytics, MIS, or other quantitative field; degrees in non-quantitative fields considered with adequate work experience Required
  • Master's Degree Finance, Economics, Mathematics, Business, Business Analytics, MIS, or other quantitative field Preferred

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Compensation: Competitive pay and bonus eligibility.
Work Life Balance: Flexible hybrid work environment, 2 days a week in the office.

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