1 to 25 of 71 Remote Permanent SAS Jobs

Platform Duration: 6 Months Location: Telford, Hybrid - 2 days per week on site Clearance Required: Active SC Cleared (preferably HMRC) Rate: £500 per day - PAYE via Umbrella only Skills: SAS, SAS Viya, Jira, Engineering, Pentaho, Denodo, Talend, SAS Web Report Studio This role will form part of a new scrum team within Minerva Platform to develop and … deliver the Ingestion and Risking within the SAS Platform including IDP. Key Responsibilities: Design, development, and deployment of data integration and transformation solutions using Pentaho, Denodo, Talend, and SAS. Architect and implement scalable data pipelines and services that support business intelligence and analytics platforms. Collaborate with cross-functional teams to gather requirements, define technical specifications, and deliver robust data … culture of technical excellence and innovation. Ensure data quality, governance, and security standards are upheld across all solutions. Troubleshoot and resolve complex data issues and performance bottlenecks. Key Skills: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. GIT. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualisation More ❯

Platform Duration: 6 Months Location: Telford, Hybrid - 2 days per week on site Clearance Required: Active SC Cleared (preferably HMRC) Rate: £500 per day - PAYE via Umbrella only Skills: SAS, SAS Viya, Jira, Engineering, Pentaho, Denodo, Talend, SAS Web Report Studio This role will form part of a new scrum team within Minerva Platform to develop and … deliver the Ingestion and Risking within the SAS Platform including IDP. Key Responsibilities: Design, development, and deployment of data integration and transformation solutions using Pentaho, Denodo, Talend, and SAS. Architect and implement scalable data pipelines and services that support business intelligence and analytics platforms. Collaborate with cross-functional teams to gather requirements, define technical specifications, and deliver robust data … culture of technical excellence and innovation. Ensure data quality, governance, and security standards are upheld across all solutions. Troubleshoot and resolve complex data issues and performance bottlenecks. Key Skills: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. GIT. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualisation More ❯

the deployment of software releases across multiple environments. This includes managing release schedules, ensuring configuration integrity, and supporting testing and validation processes. The role demands strong technical expertise in SAS technologies and Oracle, as well as a deep understanding of configuration management and the software testing lifecycle. Key Responsibilities: Own and manage the end-to-end release process across … development, testing, and operations teams to ensure timely and quality releases. Maintain and enforce configuration management standards using manifest files and structured release artefacts. Oversee packaging and deployment of SAS DI code (SPKs) and Oracle artefacts (clear-text files). Support migration activities, particularly from SAS 9.4 to SAS Viya 4, using CI/CD practices and … accelerators. Facilitate release readiness reviews, go/no-go decisions, and post-release retrospectives. Ensure traceability and auditability of all release components and decisions. Required Skills & Experience: Technical Skills: SAS Enterprise Guide (EG) - experience in job orchestration and user migration support. SAS Data Integration (DI) - packaging and deployment of DI jobs using manifest structures. SAS Management Console More ❯

or equivalent experience. Previous working experience in an analytical role, preferably within the gambling or gaming industry. Proficient in SQL and one or more of the following: Python, R, SAS Knowledge of Data visualisation software, PowerBI preferrable. Proven ability to analyse large sets and translate them into insights and actionable business recommendations. Strong communication, collaboration, and presentation skills, with More ❯

maintaining home price models used to value mortgage-backed securities. Strong quantitative, analytical and problem solving skills Experience working with large data sets and conducting regression analysis Proficiency in SAS or equivalent, Excel, Linux/windows environments Excellent verbal and written communication and interpersonal skills BA/BS in Mathematics, Statistics, Economics, or other quantitative field We'd love More ❯

and ready to challenge the status quo. You'll have: A degree in a numerate subject (e.g. Mathematics, Statistics, Economics, or similar). Strong hands-on experience with SQL, SAS, Python or equivalent - you can interrogate large datasets with confidence. Advanced Excel skills. Experience with fraud strategy, credit risk, or related analytics (experience with FICO Blaze Advisor or other More ❯

impactful decisions in a thriving financial setting. We are looking for a skilled analyst to enhance model risk management through data analysis and quantitative methods. Bring your expertise in SAS, SQL, and Python to design, maintain, and support innovative risk management solutions while collaborating with global teams. Join us in shaping the future of financial risk! Risk Analytics Library More ❯

of the skills below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression More ❯

EXPERIENCE Proven experience in developing PD and LGD models under IFRS 9. Strong understanding of credit risk across mortgage portfolios. Prior line management or mentoring experience. Advanced proficiency in SAS (knowledge of Python or R is also beneficial). Excellent communication and stakeholder management skills. Experience working in a UK banking or financial services environment. Degree in a numerate More ❯

EXPERIENCE Proven experience in developing PD and LGD models under IFRS 9. Strong understanding of credit risk across mortgage portfolios. Prior line management or mentoring experience. Advanced proficiency in SAS (knowledge of Python or R is also beneficial). Excellent communication and stakeholder management skills. Experience working in a UK banking or financial services environment. Degree in a numerate More ❯

modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar and Emblem software is preferred Proficient at communicating results in a More ❯

multiple tasks simultaneously under direction and prioritise workload. Ability to work independently in a group setting; ability to adjust to changing priorities. Maintain a professional and positive attitude. Desirable SAS Experience. SQL Experience. Benefits Competitive remuneration package including benchmarked salaries. Staff Annual Bonus Plans and Annual Salary Review. Generous employer pension contribution of 6%. 25 days annual leave More ❯

and data analysis/data science, with hands-on experience building and enhancing complex models from scratch Proficiency with statistical tools and programming languages such as R, Python, or SAS Experience leading complex model updates - both operational enhancements and full development projects - with the ability to clearly communicate outcomes to stakeholders Strong problem-solving skills, able to design creative More ❯

data Flexibility and proactivity with the ability to work under the pressure of deadlines We'd love you to have (but not essential): Developmental experience of EGuide and base SAS Red Hot Rewards Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time)plus the option to buy more. Up to five extra paid well More ❯

and distributions (direct, intermediary, aggregators) Experience of using statistics to explore and validate data, extract and manipulate large datasets for analysis Experienced in the use of programming language (e.g. SAS) and/or statistical packages e.g. actuarial pricing software Experience in SOME of the following predictive modelling techniques e.g. Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs More ❯

support, and regulatory projects. What You'll Own: Build & lead a Quants team-hire, mentor, train Shape advanced models (regression, time?series, Monte Carlo) using R/Python/SAS Support Audit functions, reviewing ECL and finance models Develop tools, methodologies & processes Drive business growth-proposals, pitches & client engagement Foster stakeholder relationships and explore new opportunities About You: Proven More ❯

ll also need experience of managing mitigating action plans to address operational risk. Experience in rule writing for a fraud/financial crime systems such as FCRM. Proficiency in SAS or SQL, and Excel are essential. And if you have any of these, even better A background in financial crime with knowledge of common banking products and their usage. More ❯

the business on ad hoc project work YOUR SKILLS AND EXPERIENCE : At least 3 years prior experience in pricing analytics within insurance Good knowledge of Python/SQL/SAS/R is essential Prior exposure to or experience with rate changes is essential Strong communication skills and desire to learn is key SALARY AND BENEFITS Up to More ❯

the business on ad hoc project work YOUR SKILLS AND EXPERIENCE : At least 3 years prior experience in pricing analytics within insurance Good knowledge of Python/SQL/SAS/R is essential Prior exposure to or experience with rate changes is essential Strong communication skills and desire to learn is key SALARY AND BENEFITS Up to More ❯

the business on ad hoc project work YOUR SKILLS AND EXPERIENCE : At least 3 years prior experience in pricing analytics within insurance Good knowledge of Python/SQL/SAS/R is essential Prior exposure to or experience with rate changes is essential Strong communication skills and desire to learn is key SALARY AND BENEFITS Up to More ❯

Solid understanding of digital payment systems, online banking platforms, and relevant fraud typologies (e.g., account takeover, APP fraud, card fraud). Familiarity with fraud monitoring tools (e.g., Actimize, Feedzai, SAS, ThreatMetrix) and fraud case management systems. Strong analytical, decision-making, and problem-solving skills. Experience working with cross-functional teams in a fast-paced, tech-driven environment. Excellent communication More ❯

a focus in Motor Experience and detailed technical knowledge of GLMs/Elastic Nets, GBMs, GAMs, Random Forests, and clustering techniques Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Proficient at communicating results in a concise manner both verbally and written Behaviours: Motivated by technical excellence Team player Self-motivated with a drive to learn and develop More ❯

a focus in Motor Experience and detailed technical knowledge of GLMs/Elastic Nets, GBMs, GAMs, Random Forests, and clustering techniques Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Proficient at communicating results in a concise manner both verbally and written Behaviours: Motivated by technical excellence Team player Self-motivated with a drive to learn and develop More ❯

of the technical differences between different packages for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar software is preferred Proficient at communicating results in a concise manner More ❯

of the technical differences between different packages for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise manner More ❯