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Overnight Sas Risk Analyst Jobs (NOW HIRING)

Position Title: Credit Risk Analyst Business Unit: Credit Reports to: Supervisor or Manager of ... SAS, Python or MS Power BI Licensures/Certifications Required to Perform the Primary ...

Senior Risk Analyst

$85K - $120K/yr

... designing, analyzing, and implementing underwriting and portfolio management account risk ... High proficiency with any of SQL/Snowflake/SAS * Knowledge of Python or R is a plus * Experience ...

New

We are seeking a Data Analyst to support our Credit Risk team. Seeking a Data Analyst to support ... Proficiency in SQL and at least one programming language (Python or SAS). * Strong quantitative and ...

Track intraday and overnight risk across customer accounts Operational Risk & Controls * Monitor ... Analyze loss events, trader behavior trends, and operational incidents * Provide insights to ...

As an Associate Risk Analyst, you'll help drive Concora Credit's Mission to enable customers to Do ... Experience with SQL (MS SQL Server), R, Python, or SAS. * Strong communication skills - verbal and ...

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Overnight Sas Risk Analyst information

What is the difference between Overnight Sas Risk Analyst vs Overnight SAS Risk Analyst?

AspectOvernight SAS Risk AnalystOvernight SAS Risk Analyst
CredentialsTypically requires SAS certification, risk analysis, or related degreesSame as Overnight SAS Risk Analyst
Work EnvironmentFinancial institutions, banks, or insurance companies working overnight shiftsSame as Overnight SAS Risk Analyst
Industry UsageCommonly used in finance, banking, and insurance sectorsSame as Overnight SAS Risk Analyst
Job FocusRisk assessment, data analysis, and reporting using SAS during overnight hoursSame as Overnight SAS Risk Analyst

The Overnight SAS Risk Analyst and Overnight SAS Risk Analyst are the same role, focusing on risk analysis using SAS software during overnight shifts in financial or insurance industries. Both require similar skills, certifications, and work environments, making them interchangeable in most contexts.

What cities are hiring for Overnight Sas Risk Analyst jobs? Cities with the most Overnight Sas Risk Analyst job openings:
What are the most commonly searched types of Sas Risk Analyst jobs? The most popular types of Sas Risk Analyst jobs are:
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Infographic showing various Overnight Sas Risk Analyst job openings in the United States as of May 2026, with employment types broken down into 8% As Needed, 13% Full Time, 71% Part Time, 3% Temporary, and 5% Contract. Highlights an 93% Physical, and 7% Remote job distribution.
Credit Risk Analyst

Full-time

Posted 6 hours ago


Job description

Come join a growing financial technology company that's 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:
  • Bachelor's 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 America's 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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