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Credit Risk Sas Jobs in Texas (NOW HIRING)

GM Financial

Risk Statistician

Fort Worth, TX · Hybrid

Knowledge of SAS, Excel, Word and PowerPoint * Knowledge of spreadsheet modeling and credit risk techniques * Ability to coordinate and balance numerous tasks under pressure and meet deadlines

GM Financial

Risk Statistician

Fort Worth, TX · On-site

Knowledge of SAS, Excel, Word and PowerPoint * Knowledge of spreadsheet modeling and credit risk techniques * Ability to coordinate and balance numerous tasks under pressure and meet deadlines

Sunflower Bank, N.A.

Model Risk Analyst

Dallas, TX · On-site

This role ensures that models--used for credit risk, liquidity risk, market risk, capital planning ... Familiarity with Excel, SQL, Python, R, SAS, or other relevant languages for data analysis and code ...

Sunflower Bank NA

Model Risk Analyst

Dallas, TX · Hybrid

This role ensures that models-used for credit risk, liquidity risk, market risk, capital planning ... Familiarity with Excel, SQL, Python, R, SAS, or other relevant languages for data analysis and code ...

Sunflower Bank NA

Model Risk Analyst

Dallas, TX · On-site

This role ensures that models-used for credit risk, liquidity risk, market risk, capital planning ... Familiarity with Excel, SQL, Python, R, SAS, or other relevant languages for data analysis and code ...

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All JobsCredit Risk Sas JobsCredit Risk Sas Jobs in Texas

Credit Risk Sas information

See Texas salary details

$80.6K

$147.5K

$223.1K

How much do credit risk sas jobs pay per year?

As of Jun 17, 2026, the average yearly pay for credit risk sas in Texas is $147,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $165,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in a Credit Risk SAS role, and how can they be effectively managed?

Professionals in a Credit Risk SAS role often encounter challenges such as handling large and complex datasets, ensuring data accuracy, and meeting tight deadlines for regulatory reporting. Additionally, translating analytical findings into actionable business recommendations can be demanding, especially when collaborating with stakeholders from non-technical backgrounds. To manage these challenges, it's important to build strong data validation processes, prioritize clear communication with cross-functional teams, and continuously update SAS and risk modeling skills to stay current with industry standards.

What are the key skills and qualifications needed to thrive as a Credit Risk SAS Analyst, and why are they important?

To thrive as a Credit Risk SAS Analyst, you need a solid background in quantitative analysis, statistics, and risk modeling, often supported by a degree in finance, mathematics, or a related field. Proficiency with SAS software, data mining tools, and knowledge of regulatory frameworks such as Basel II/III are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and present findings clearly. These skills are crucial for accurately assessing credit risk, ensuring compliance, and supporting sound financial decision-making in the organization.

What are Credit Risk SAS professionals?

Credit Risk SAS professionals are analysts or specialists who use SAS (Statistical Analysis System) software to assess, model, and manage credit risk within financial institutions. Their work involves analyzing large datasets to evaluate the likelihood of borrowers defaulting, developing predictive risk models, and ensuring compliance with regulatory requirements. They play a crucial role in helping banks and lenders make informed lending decisions and minimize potential losses. These professionals often collaborate with risk management teams and use their expertise in statistics, data analysis, and SAS programming to support credit risk strategies.

What is the difference between Credit Risk Sas vs Credit Analyst?

AspectCredit Risk SasCredit Analyst
Required CredentialsTypically requires certifications like CFA, FRM, or specialized SAS trainingOften requires a bachelor's degree in finance, economics, or related fields; certifications like CFA are common
Work EnvironmentData analysis, modeling, and risk assessment in financial institutions or analytics firmsFinancial institutions, banks, or credit agencies analyzing borrower creditworthiness
Employer & Industry UsageUsed mainly in risk modeling, quantitative analysis, and data-driven decision makingUsed in credit evaluation, loan approval, and client credit analysis

While both roles involve analyzing financial data, Credit Risk Sas focuses on developing risk models and data analysis using SAS software, whereas Credit Analysts primarily evaluate individual creditworthiness and make lending decisions. Both roles require strong analytical skills, but their focus areas and daily tasks differ within the finance industry.

What are popular job titles related to Credit Risk Sas jobs in Texas? For Credit Risk Sas jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Credit Risk Sas jobs in Texas look for? The top searched job categories for Credit Risk Sas jobs in Texas are:
Credit Risk Sas jobs near you
Infographic showing various Credit Risk Sas job openings in Texas as of June 2026, with employment types broken down into 52% Full Time, 36% Part Time, 3% Temporary, and 9% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $147,492 per year, or $70.9 per hour.
Sr Risk Systems Developer

Sr Risk Systems Developer

Community Choice Financial Family of Brands

Carrollton, TX • On-site

Full-time

Posted 6 days ago

Community Choice Financial rating

6.6

Company rating: 6.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
Community Choice Financial is one of the largest consumer specialty finance organizations in the U.S., and they are seeking a Sr. Risk Systems Developer to join their Credit Risk Strategy Team. In this role, you will support the customer approval process by ensuring the decision engine platform meets operational expectations and contribute to designing and developing effective underwriting strategies and scoring models.
Responsibilities:
• Execute the technical development of credit risk / underwriting processes using system tools that require program scripting, system configurations, and strong technical testing methods.
• Conduct Unit testing of all changes to the decision engine both within the DE platform as well as through the API channel.
• Translate underwriting processes and strategies into technical designs through collaboration with multifunctional teams and document these processes and procedures.
• Produce high-quality technical documentation of processes and procedures that are implemented within the DE platform.
• Perform peer code reviews for the Risk development team.
Qualifications:
Required:
• Bachelor’s degree in mathematics, Economics, Finance, or another related field.
• Minimum 3 years of experience in Software Development, Decision Engine Systems, Credit Risk Systems or a related technical role.
• Experience with decision engine software such as Blaze, Powercurve, GDSLink, or especially Provenir.
• Prior work with relational databases and experience with SQL or similar tool.
• Hands-on experience working with REST/SOAP web services (including deep knowledge of JSON/XML data structures).
• Experience with MS Office, especially MS Excel.
• Experience with JavaScript development.
• Strong analytical and problem-solving skills with the ability to think logically and effectively utilize techniques to develop and execute effective solutions.
• Ability to work effectively both independently and as a team member.
• Ability to succeed within a cross-functional team emphasizing collective ownership in a fast-paced environment.
• Confidence and willingness to challenge status quo but also able to concede and execute other’s ideas when necessary.
Preferred:
• 3-8 years of experience in the financial services industry
• Master’s degree (MS or MBA) in Mathematics, Computer Science, Finance, or another related field
• Experience with R, Python, SAS, or other data science and statistical analysis language
• Azure DevOps
• Postman and API testing frameworks
Company:
With online and in-store products and services across the country, Community Choice Financial Family of Brands offers our customers, Team Members, and communities the Power of Choice. Founded in 1989, the company is headquartered in Carrollton, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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