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Sas Credit Risk Analyst Jobs in Texas (NOW HIRING)

Credit Risk Manager Houston TX | Credit At Talen Energy This is a senior-level energy credit risk ... Analyze valuation changes across trading products and clearly communicate key drivers, risk ...

Credit Risk Manager Houston TX | Credit At Talen Energy This is a senior-level energy credit risk ... Analyze valuation changes across trading products and clearly communicate key drivers, risk ...

Credit Risk Manager Houston TX | Credit At Talen Energy This is a senior-level energy credit risk ... Analyze valuation changes across trading products and clearly communicate key drivers, risk ...

Sr Analyst, Credit Risk Mgmt

Frisco, TX · On-site

$84K - $152K/yr

Join our dynamic Credit Risk Management team as a Senior Analyst, and together, we'll conquer new ... Intermediate or higher proficiency in SAS or other statistical/analytical programming languages ...

Showing results 21-40

Sas Credit Risk Analyst information

See Texas salary details

$34.5K

$106.1K

$184K

How much do sas credit risk analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for sas credit risk analyst 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 a SAS Credit Risk Analyst?

SAS Credit Risk Analysts are professionals who use SAS (Statistical Analysis System) software to analyze and manage credit risk for financial institutions or organizations. They collect and interpret data to assess the likelihood of borrowers defaulting on loans or credit products. Their work typically involves building statistical models, monitoring credit portfolios, and ensuring compliance with regulatory requirements. By providing insights and recommendations, SAS Credit Risk Analysts help organizations make informed lending decisions and minimize financial losses.

What are some common challenges faced by SAS Credit Risk Analysts in managing data quality and model accuracy?

SAS Credit Risk Analysts often encounter challenges related to ensuring the accuracy and consistency of large datasets, as financial data can be incomplete, outdated, or inconsistent across sources. Managing data quality is critical, as even minor errors can significantly impact risk models and decision-making. Additionally, analysts must regularly validate and update their SAS models to reflect changing economic conditions and regulatory requirements. Addressing these challenges typically involves close collaboration with data engineers, regular model performance reviews, and staying current with industry best practices.

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

To thrive as a SAS Credit Risk Analyst, you need strong analytical skills, a solid understanding of credit risk modeling, and a background in statistics, finance, or a related field. Expertise in SAS programming, familiarity with data mining tools, and knowledge of risk management frameworks or relevant certifications like FRM or CFA are highly valued. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting results and collaborating with stakeholders. These skills ensure accurate risk assessment, data-driven decision-making, and compliance with regulatory requirements in financial institutions.

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

AspectSas Credit Risk AnalystCredit Analyst
Required CredentialsBachelor's degree in finance, economics, or related field; familiarity with SAS softwareBachelor's degree in finance, accounting, or related field; often no specific software requirement
Work EnvironmentFinancial institutions, credit bureaus, or risk management firmsBanks, lending companies, or financial services firms
Employer & Industry UsageUsed in risk assessment, credit scoring, and data analysis rolesUsed in evaluating creditworthiness, loan approvals, and financial analysis

The Sas Credit Risk Analyst focuses on analyzing credit risk using SAS software, often involving data modeling and risk assessment. In contrast, a Credit Analyst primarily evaluates creditworthiness of individuals or companies, with less emphasis on specialized software. Both roles are common in financial institutions but differ in technical requirements and specific responsibilities.

What are popular job titles related to Sas Credit Risk Analyst jobs in Texas?

For Sas Credit Risk Analyst jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Sas Credit Risk Analyst jobs in Texas look for?

The top searched job categories for Sas Credit Risk Analyst jobs in Texas are:

Infographic showing various Sas Credit Risk Analyst job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $106,098 per year, or $51 per hour.

Analyst, Credit Risk Mgmt - Strategy

T-Mobile USA, Inc.

Frisco, TX • On-site

$76K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


T-Mobile rating

7.4

Company rating: 7.4 out of 10

Based on 653 frontline employees who took The Breakroom Quiz

54th of 101 rated telecommunications companies


Job description

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees!
As an Analyst within the Credit Risk Management team, you will wear multiple hats. You will use your strong blend of analytical skills, project management, presentation skills, and ability to develop strong and effective working relationships.
You will work independently, and/or as part of a team of analysts, to identify new credit segmentation opportunities using statistical methods leading to enhancements to our credit decision process and policies, collections strategies, and fraud strategies. You will partner within members of the Credit Risk Management team and other functional teams in T-Mobile for the deployment, analysis and tracking of new credit strategies to manage risk.
You manipulate large amounts of data, extract key insights from the data, and then clearly and concisely communicate actionable recommendations based upon your insights. In many cases, you will participate in projects at various stages from idea or hypothesis generation to development and/or implementation. You will be expected to contribute actively with creative and credit-focused ideas, to demonstrate problem solving skills and ownership aptitude. Unstoppable, Together!
Responsibilities:
  • Utilize statistical segmentation techniques to identify new opportunities
  • Extract, load and transform data from multiple sources necessary for statistical, reporting and ad-hoc analysis
  • Perform qualitative and quantitative analysis of credit polices to meet given objectives
  • Develop predictive financial and analytical models using the appropriate statistical methodologies, including trend and regression analysis
  • Participate and perform the analysis of new data and statistical products by external vendors
  • Work with credit bureau and alternative credit data
  • Deliver work output with full awareness and adherence to project timelines or agreed upon deadlines

Education/Qualifications - Required:
  • 2-4 years experience in a qualitative analytical function
  • Bachelor's Degree Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree
  • Intermediate or higher proficiency in SAS or other statistical/analytical programming languages
  • Superior computer skills in Excel, Word, PowerPoint required
  • Superior communication (spoken and written), organization and presentation skills
  • Superior time management skills and awareness of project management methods

Education/Qualifications - Desired:
  • 3+ years of quantitative analytic modeling experience, credit risk management or comparable process management experience
  • Graduate degree in a quantitative discipline a plus
  • Basic proficiency in SQL, Python, R or other statistical software packages
  • Prior consumer risk management experience a plus
  • Wireless / Telecom experience a plus

#LI-Corporate
  • At least 18 years of age
  • Legally authorized to work in the United States

Travel:
Travel Required (Yes/No): No
DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
Base Pay Range: $76,100 - $137,300
Corporate Bonus Target: 10%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ344439&paradox=1
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile's amazing benefits, check out www.t-mobilebenefits.com.
Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it's that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you're living our values while investing in your career growth-and we applaud it. You're unstoppable!
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.

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