Quick overview
Job description
Contract: 6 months
Rate: £450 per day (Inside IR35)
Location: Remote with occasional visits to Liverpool
We are seeking an experienced SAS Model Developer to join a high-profile programme, supporting the design, development, validation, and deployment of statistical and predictive models. This is an excellent opportunity for a hands-on SAS specialist with strong modelling expertise and a passion for delivering data-driven solutions at scale.
Key Responsibilities
- Design, develop, and implement statistical, predictive, pricing, or risk models using SAS.
- Build modelling datasets, feature engineering pipelines, and variable transformations.
- Develop model logic, segmentation rules, scoring algorithms, and scenario simulations.
- Translate business and model requirements into robust, efficient SAS solutions.
SAS Programming
- Develop high-quality SAS programs using Base SAS, SAS Macros, Data Step, and SAS SQL.
- Build and maintain automated model execution, scoring, and monitoring processes.
- Optimise SAS code to improve performance, scalability, and maintainability.
- Ensure coding standards and best practices are followed throughout development.
Model Validation & Testing
- Perform model testing, back-testing, sensitivity analysis, and stress testing.
- Validate data quality, assumptions, sampling methodologies, and model performance.
- Support governance activities through comprehensive testing and validation documentation.
- Assist with regulatory reviews and audit requirements where applicable.
Data Analysis & Insights
- Analyse large and complex datasets to identify trends, patterns, and business opportunities.
- Provide analytical support and performance insights to stakeholders.
- Produce technical documentation, model specifications, impact assessments, and reporting artefacts.
Deployment & Production Support
- Convert prototype models into production-ready SAS code.
- Support model implementation, scoring deployment, version control, and monitoring activities.
- Work closely with Data Engineering and Technology teams to deploy solutions into controlled environments.
- Monitor model performance and recommend enhancements as required.
Essential Skills & Experience
- 5+ years of commercial SAS programming experience.
- Strong hands-on experience with:
- Base SAS
- SAS Macros
- SAS Data Step Programming
- SAS SQL
- SAS Enterprise Guide and/or SAS Studio
- Proven experience developing and deploying analytical or predictive models.
- Strong understanding of:
- Linear and Logistic Regression
- Time Series Forecasting
- Segmentation Models
- Risk, Pricing, or Predictive Modelling
- Experience across the full Model Development Lifecycle (MDLC):
- Development
- Testing
- Validation
- Documentation
- Production Deployment
- Advanced data extraction, cleansing, transformation, and feature engineering skills.
- Experience working with large datasets and complex data workflows.
- Strong problem-solving and stakeholder communication skills.
Desirable Experience
- Experience within financial services, insurance, risk, or large-scale analytical environments.
- Knowledge of model governance frameworks and regulatory requirements.
- Exposure to cloud-based analytics platforms and modern data engineering practices.
What's on Offer?
- £450 per day Inside IR35.
- Fully remote working arrangement.
- Occasional visits to Liverpool.
- Initial 6-month contract with potential for extension.
- Opportunity to work on large-scale modelling and analytics initiatives with significant business impact.
Interested? Apply now with your latest CV and details of your SAS modelling experience.
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