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Credit Risk Sas Jobs (NOW HIRING)

CreditOne

Credit - Risk Analyst

Las Vegas, NV · On-site

... credit line strategies, as well as conducting analyses to evaluate the risk of new and existing ... SQL Server, SAS, or Python * Intellectual horsepower with problem solving and analytical skills

US Bank

Credit Risk Manager

Charlotte, NC · On-site

$133K - $156K/yr

Provides credit risk analytics support for the Wholesale Commercial portfolios, including the ... Computer programming experience in SQL, SAS or Python experience strongly preferred, intermediate ...

US Bank

Credit Risk Manager

Cincinnati, OH · On-site

$133K - $156K/yr

Provides credit risk analytics support for the Wholesale Commercial portfolios, including the ... Computer programming experience in SQL, SAS or Python experience strongly preferred, intermediate ...

U.S. Bank

Credit Risk Manager

Minneapolis, MN · On-site

$133K - $156K/yr

Provides credit risk analytics support for the Wholesale Commercial portfolios, including the ... Computer programming experience in SQL, SAS or Python experience strongly preferred, intermediate ...

Alliant

Senior Credit Risk Analyst

Chicago, IL · On-site

$84K - $131K/yr

Review and monitor credit risk for credit cards, and recommend/implement line management, pricing ... SAS. * Evaluate, implement, and monitor third-party scoring solutions. * Prepare supporting ...

US Bank

Credit Risk Manager

Minneapolis, MN · On-site

$133K - $156K/yr

Provides credit risk analytics support for the Wholesale Commercial portfolios, including the ... Computer programming experience in SQL, SAS or Python experience strongly preferred, intermediate ...

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Credit Risk Sas information

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$86.5K

$158.3K

$239.5K

How much do credit risk sas jobs pay per year?

As of Jul 9, 2026, the average yearly pay for credit risk sas in the United States is $158,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $177,500.00 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.

More about Credit Risk Sas jobs
What states have the most Credit Risk Sas jobs? States with the most job openings for Credit Risk Sas jobs include:
What job categories do people searching Credit Risk Sas jobs look for? The top searched job categories for Credit Risk Sas jobs are:
Credit Risk Sas jobs near you
Infographic showing various Credit Risk Sas job openings in the United States as of July 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $158,312 per year, or $76.1 per hour.
Risk Analyst II - Credit Risk Analytics

Risk Analyst II - Credit Risk Analytics

GM Financial

Fort Worth, TX • On-site

Full-time

Retirement

Re-posted 3 days ago

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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