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Sas Risk Analyst Jobs (NOW HIRING)

Bank's Credit Risk Management area is seeking a Credit Risk Analyst to work on their Dealer ... Proficient in programming and data manipulation using SQL, SAS, Python, or R. Effective ...

Success in this position requires an understanding of fraud risk and intermediate to advanced analytical skills using tools such as SAS, SQL, or Python. You will identify emerging fraud trends ...

Success in this position requires an understanding of fraud risk and intermediate to advanced analytical skills using tools such as SAS, SQL, or Python. You will identify emerging fraud trends ...

Success in this position requires an understanding of fraud risk and intermediate to advanced analytical skills using tools such as SAS, SQL, or Python. You will identify emerging fraud trends ...

Senior Credit Risk Analyst

Chicago, IL ยท Hybrid

$84K - $131K/yr

Analyze origination risk factors and recommend/implement improvements in areas such as underwriting ... SAS. * Evaluate, implement, and monitor third-party scoring solutions. * Prepare supporting ...

Senior Credit Risk Analyst

Chicago, IL ยท On-site

$84K - $131K/yr

Analyze origination risk factors and recommend/implement improvements in areas such as underwriting ... SAS. * Evaluate, implement, and monitor third-party scoring solutions. * Prepare supporting ...

Success in this position requires an understanding of fraud risk and intermediate to advanced analytical skills using tools such as SAS, SQL, or Python. You will identify emerging fraud trends ...

Success in this position requires an understanding of fraud risk and intermediate to advanced analytical skills using tools such as SAS, SQL, or Python. You will identify emerging fraud trends ...

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SAS Risk Analyst information

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How much do sas risk analyst jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for sas risk analyst in the United States is $40.49, according to ZipRecruiter salary data. Most workers in this role earn between $29.81 and $49.28 per hour, depending on experience, location, and employer.

What are SAS Risk Analysts?

SAS Risk Analysts are professionals who use SAS (Statistical Analysis System) software to identify, measure, and manage risks within organizations, especially in financial services. They analyze large data sets to assess credit, market, operational, or regulatory risks and help companies make informed decisions to mitigate potential losses. Their role often includes building risk models, generating reports, and ensuring compliance with industry regulations.

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

To thrive as a SAS Risk Analyst, you need a strong background in statistics, data analysis, and risk management, often supported by a degree in finance, mathematics, or a related field. Proficiency with SAS software, data modeling tools, and familiarity with regulatory compliance systems are typically required, and certifications in SAS or risk management are highly valued. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and conveying insights to stakeholders. These skills and qualifications ensure accurate risk assessments, robust data-driven decision-making, and regulatory compliance within financial organizations.

How does a SAS Risk Analyst typically collaborate with other departments within a financial institution?

As a SAS Risk Analyst, you will frequently collaborate with departments such as compliance, credit, operations, and IT. Your role involves gathering data, interpreting analytical results, and presenting actionable insights to stakeholders who may not have a technical background. Effective communication and teamwork are crucial, as you often need to translate complex risk models into practical recommendations for business units or senior management. Regular cross-functional meetings and project-based teamwork are common, ensuring that risk strategies align with broader organizational goals.
What are the most commonly searched types of Sas Risk Analyst jobs? The most popular types of Sas Risk Analyst jobs are:
Infographic showing various Sas Risk Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $84,210 per year, or $40.5 per hour.
Credit Risk Analyst

Credit Risk Analyst

Continental Finance Company

Wilmington, DE โ€ข On-site

Full-time

Re-posted 11 days ago


Job description

Salary:

Come join a growing financial technology company thats leading the marketplace in both the marketing and servicing of credit cards! Continental Finance Company specializes in credit card options for those consumers with less than perfect credit. We are seeking a Data Analyst to support our Credit Risk team.

Seeking a Data Analyst to support direct mail and Invitation-To-Apply (ITA) acquisition campaigns through targeting, list processing and execution, and credit risk performance analysis, helping drive efficient growth while maintaining strong portfolio performance.

Essential Functions:

  • Execute end-to-end direct mail and ITA campaigns, including selection of prospective customers, list processing, and file delivery.
  • Perform credit risk analysis to support targeting, offer strategy, and campaign decisioning.
  • Monitor campaign performance, including response, approval, and early credit indicators.
  • Identify, analyze, and report production trends to management.
  • Partner with Marketing, Operations, IT to ensure accurate and timely campaign execution.
  • Leverage credit bureau data, models, and new data sources to enhance targeting and credit risk strategies.
  • Support test-and-learn initiatives and deliver actionable insights to optimize campaign performance.
  • Maintain documentation and ensure data accuracy, controls, and compliance with internal policies.

The ideal candidate will have the following:

  • Bachelors degree in quantitative fields such as Mathematics, Finance, Economics, or related discipline required.
  • 1-3 years of analytical and/or data programming experience; consumer lending or credit card industry experience preferred.
  • Proficiency in SQL and at least one programming language (Python or SAS).
  • Strong quantitative and problem-solving skills
  • Strong work ethic with the ability to learn quickly and communicate effectively

Why Continental Finance?

Continental Finance Company (the CFC) is one of Americas leading marketers and servicers of credit cards for consumers with less-than-perfect credit. Since our founding in 2005, we have prided ourselves on corporate responsibility to customers in terms of a strong customer support program and fair treatment. With our success, we have also grown into an innovative financial tech company! With a state-of-the-art consumer marketing and servicing platform, we provide a variety of services to consumers when other financial institutions will not accommodate them. With more than 2.6 million credit cards managed and serviced since our founding, we pride ourselves on putting the customer first.We are not a chartered banking financial institution, nor are we a debt originator or a credit card issuer.


CFC is an equal opportunity employer that is committed to inclusion and diversity. Our company provides equal employment opportunity (EEO) regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status.


CFC is seeking bright, energetic individuals that will help us grow and develop together! We uphold a promise to treat our employees with the same care and concern as we do our customers. We offer all employees competitive compensation and benefits in an exciting, fast-paced business casual environment. Join our growing team and apply online today!

CFC offers a hybrid work schedule which includes three (3) core days in the office (Tuesday, Wednesday, and Thursday) and two (2) remote workdays (Monday and Friday)


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