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Credit Risk Modeling Jobs in Dallas, TX (NOW HIRING)

S&P Global

Senior Credit Product Specialist

Dallas, TX · On-site

You will engage in discussions ranging from foundational credit risk concepts to enterprise-wide, multi-product analytical solutions involving quantitative modeling, regulatory compliance, workflow ...

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Credit Risk Modeling information

See Dallas, TX salary details

$123.6K

$144.1K

$186.2K

How much do credit risk modeling jobs pay per year?

As of Sep 4, 2026, the average yearly pay for credit risk modeling in Dallas, TX is $144,078.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,600.00 and $147,500.00 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.

What are the most commonly searched types of Credit Risk Modeling jobs in Dallas, TX?

The most popular types of Credit Risk Modeling jobs in Dallas, TX are:

What are popular job titles related to Credit Risk Modeling jobs in Dallas, TX?

For Credit Risk Modeling jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Credit Risk Modeling jobs in Dallas, TX look for?

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What cities near Dallas, TX are hiring for Credit Risk Modeling jobs?

Cities near Dallas, TX with the most Credit Risk Modeling job openings:

Credit Risk Modeling jobs near you
Infographic showing various Credit Risk Modeling job openings in Dallas, TX as of August 2026, with employment types broken down into 85% Full Time, 6% Part Time, and 9% Contract. Highlights an 68% In-person, 16% Hybrid, and 16% Remote job distribution, with an average salary of $144,078 per year, or $69.3 per hour.

Risk Analyst II - Credit Risk Analytics

GM Financial

Fort Worth, TX • Hybrid

Full-time

Retirement

Re-posted yesterday

GM Financial rating

8.2

Company rating: 8.2 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

56th of 177 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.

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. 

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

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