Credit Risk Specialist (SAS & Build Scorecard)

Job Title: Credit Risk Specialist – SAS & Credit Scorecard Development
Experience: 5–10 Years
Location: London/ Manchester/ Bristol
Employment Type: Contract 

Job Summary

We are looking for an experienced Credit Risk Specialist with strong hands-on expertise in SAS, credit risk analytics, and scorecard development. The ideal candidate will have experience building, validating, implementing, and monitoring credit scoring models for lending portfolios, including application, behavioral, and/or bureau scorecards.

The role requires a strong understanding of credit risk modelling, statistical techniques, SAS programming, model performance assessment, and regulatory requirements.

Key Responsibilities

• Develop and maintain credit risk scorecards for consumer, SME, retail, or commercial lending portfolios.


• Perform end-to-end scorecard development, including:
  
  
  
  • Data preparation and exploratory analysis
  
  
  • Variable selection
  
  
  • Missing-value treatment
  
  
  • Outlier analysis
  
  
  • Binning and Weight of Evidence (WoE)
  
  
  • Information Value (IV) analysis
  
  
  • Variable transformation
  
  
  • Logistic regression modelling
  
  
  • Score scaling and calibration
  
  
  
  


• Use SAS/Base SAS and SAS Enterprise Miner or equivalent SAS analytical tools for statistical modelling and data analysis.


• Develop application, behavioral, collections, fraud, or credit bureau scorecards as required.


• Analyze portfolio performance and identify key risk drivers and emerging credit-risk trends.


• Calculate and interpret model performance metrics such as:
  
  
  
  • Gini
  
  
  • KS
  
  
  • AUC/ROC
  
  
  • PSI
  
  
  • CSI
  
  
  • Accuracy / classification metrics
  
  
  • Bad-rate and delinquency analysis
  
  
  
  


• Conduct model validation, back-testing, benchmarking, and stability analysis.


• Support PD, LGD and EAD modelling where applicable.


• Develop segmentation strategies and risk bands for lending portfolios.


• Perform champion/challenger analysis and recommend model enhancements based on portfolio performance.


• Work with large datasets using SAS SQL, PROC SQL, DATA STEP, PROC LOGISTIC, PROC REG, and other relevant SAS procedures.


• Translate analytical outputs into credit policy and lending strategy recommendations.


• Support implementation of scorecards into production decisioning systems.


• Monitor existing models and perform periodic model performance and stability reviews.


• Prepare technical documentation covering model methodology, assumptions, variables, validation results, and limitations.


• Work closely with Credit Risk, Model Risk, Data Science, Risk Analytics, Data Engineering, and Business teams.


• Ensure models and analytical processes comply with relevant internal governance and regulatory standards.