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Sas Credit Risk Modeling Jobs (NOW HIRING)

IDBNY

Credit Risk Analytics & Modeling

Manhattan, NY · On-site

Head of Credit Risk Analytics & Modeling Visa Sponsorship: Not available About IDB Bank For more than 70 years, IDB Bank has been committed to delivering exceptional service and building long-term ...

Regional Finance

Director Credit Risk

Plano, TX · On-site

Job Purpose The Director, Credit Risk is responsible for Portfolio analytics, business performance ... Experience in data mining, modeling, and analyzing analytic findings using SAS/R/Python. * Advanced ...

Regional Finance

Director Credit Risk

Plano, TX · On-site

Job Purpose The Director, Credit Risk is responsible for Portfolio analytics, business performance ... Experience in data mining, modeling, and analyzing analytic findings using SAS/R/Python. * Advanced ...

Regional Finance Corp

Director Credit Risk

Plano, TX

Job Purpose The Director, Credit Risk is responsible for Portfolio analytics, business performance ... Experience in data mining, modeling, and analyzing analytic findings using SAS/R/Python. * Advanced ...

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Sas Credit Risk Modeling information

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$124.5K

$145.1K

$187.5K

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

As of Jun 11, 2026, the average yearly pay for sas credit risk modeling in the United States is $145,100.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,500.00 and $148,500.00 per year, depending on experience, location, and employer.

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

To thrive as a SAS Credit Risk Modeling professional, a strong background in statistics, data analysis, and financial risk assessment is essential, typically supported by a degree in mathematics, statistics, finance, or a related field. Proficiency in SAS programming, experience with statistical modeling tools (such as logistic regression), and understanding of regulatory frameworks like Basel II/III are critical. Analytical thinking, problem-solving, and effective communication skills help translate complex data insights into actionable business strategies. These skills ensure accurate risk evaluation, regulatory compliance, and informed decision-making within financial institutions.

What are some common challenges faced by SAS Credit Risk Modeling professionals when collaborating with cross-functional teams?

SAS Credit Risk Modeling professionals often collaborate with teams from risk, finance, IT, and compliance. A common challenge is translating complex statistical models into actionable insights for non-technical stakeholders, ensuring everyone understands the modeling assumptions and limitations. Additionally, aligning data sources and definitions across departments can be time-consuming, requiring strong communication and project management skills. Building trust in model outputs and facilitating smooth model implementation in production systems are also key aspects of successful collaboration.

What is SAS Credit Risk Modeling?

SAS Credit Risk Modeling refers to the use of SAS (Statistical Analysis System) software to develop, validate, and monitor statistical models that assess the credit risk of borrowers. These models help financial institutions estimate the likelihood of default, assign credit scores, and comply with regulatory requirements. SAS provides powerful tools for data management, statistical analysis, and reporting, making it a popular choice for credit risk professionals. By leveraging SAS, organizations can make data-driven lending decisions and manage their credit portfolios more effectively.

Credit Risk Modeling & Analytics Manager

Ra

Jersey City, NJ

$100K/yr

Full-time

Posted 24 days ago

Job description

Company Description

Why we need you?


Our client is one of the unique IT Services Company serving across the globe. They are a leading operations management and analytics company that help businesses enhance growth and profitability.

We are looking for a dynamic modeling professional to join their team in Jersey City.  

Job Description

Here's what you'll be doing.

  • You'll develop Models for client as per the agreed upon schedule
  • You'll document modeling requirements based on discussions and information provided by client modeling lead/business users
  • You'll develop models based on the model requirements definition , per the agreed upon schedule with client
  • You'll develop new and enhance existing risk scorecards (application, behavior, collections/recovery etc.) or Marketing Analytics modeling (customers targeting)
  • You'll create and maintain detailed model documentation


You need these qualifications.

  • You hold a Master's degree in Statistics, Economics, Engineering, Finance, Mathematics, or a related quantitative field from tier 1 colleges
  • You have a sound Knowledge of SAS, SQL and other analytical tools (R, SPSS).
  • You've experience working in Banking, Credit Cards, Marketing Analytics, Credit Risk Modeling.
  • You've experience working with Machine Learning techniques (Support Vector Machines, Genetic Algorithms, Random Forests, K-Nearest Neighbor algorithm, Principal Component analysis etc.)
  • You've more than 3 years of experience in building models (data cleaning, dependent variable selection, independent variable study and understanding, variable reduction, bivariate analysis, variables grouping, logistic/linear model build, model validation, KS/Lift study/PSI etc.)
  • You've exposure in Online / Digital analytics & Text Mining.


Here's what we can offer.

Competitive base salary of $100K+ Bonus and Benefits+ Relocation Assistance


Work Authorization: 

US Citizens/ Green Card/ Permanent Residents/ EAD.

Additional Information

All your information will be kept confidential according to EEO guidelines. Ping me at shruthi.n at roljobs dot com to know more.

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