26 to 50 of 54 SAS Jobs in the UK

Skills and experience you need as Lead Pricing Analyst - Market: 3+ years’ experience in insurance pricing or related analytical background. Highly skilled in the use of programming language (e.g. SAS) to manipulate data. Experience in SOME of the following predictive modelling techniques e.g. Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector More ❯

Architecture team is a diverse group of architects located throughout Asia, Pacific and Japan. The team develops Contact Centre architectures and solutions using Amazon Connect for our customers. Specialist SAs play a critical role in capturing customer feedback, advocating for roadmap enhancements, and anticipating customer requirements as they work backwards from their needs. As domain experts, SSAs also participate More ❯

and any added experience of working within Model Development would be desirable (but not essential). The main coding language used is Python, but if you have experience in SAS or R with the desire to up skill in Python, this works for the business. InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is More ❯

track record of delivering effective business solutions.Experience in application of ML concepts and methodologies (particularly time series modeling, but also regression, classification, feature engineering and selection etc.)Proficiency in SAS, SQL, Python, and other programming languages to communicate effectively with technical teams. Excellent communication and presentation skills, ability to explain complex analytical topics to both technical and non-technical More ❯

bank. Prior leadership or team lead experience. In-depth knowledge of UK and EU AML regulations, FCA guidelines, and industry standards. Experience working with transaction monitoring systems (e.g., Actimize, SAS, ComplyAdvantage, etc.). Strong analytical, investigative, and decision-making skills. Excellent written and verbal communication skills. Benefits Competitive salary & progression Open and inclusive culture Hybrid working Fantastic offices and More ❯

Yes Start: 13/10 Finish : 31/12 6 Month ext expected Remote You will need Stakeholder experience Secruity clearance Microsoft ontra (Azure) IDAM Identity assess management Analyse sas products and identification Nice to have GDS Experience More ❯

IR35 with our leading banking client EDINBURGH BASED - PREFERRED Skills are as below: Strong SQL coding skills Experience working in Snowflake Expertise in Tableau or Amazon QuickSight Proficiency in SAS , particularly to support our ongoing migration to cloud platforms It's working in the data measurement team and is facing off to the Wealth Management part of the bank More ❯

Strong experience as a Data Engineer (migrating legacy systems onto AWS, building data pipelines) Strong Python experience Tech stack experience required: AWS Glue, Redshift, Lambda, PySpark, Airflow SSIS or SAS experience (Desirable) Benefits Salary up to £57,500 + up to 20% bonus Hybrid working: 1 to 2 days a week in the office 28 days holiday plus bank More ❯

able to work independently Willingness to learn and develop new skills Additional Experience (Not Essential): PCB design using KiCAD, Altium or Eagle Knowledge of data storage technologies (SATA, NVMe, SAS) Experience with test equipment (oscilloscopes, logic and bus analysers) Familiarity with secure data erasure standards Technical customer support experience About the Role: Full-time, hands-on engineering role Based More ❯

able to work independently Willingness to learn and develop new skills Additional Experience (Not Essential): PCB design using KiCAD, Altium or Eagle Knowledge of data storage technologies (SATA, NVMe, SAS) Experience with test equipment (oscilloscopes, logic and bus analysers) Familiarity with secure data erasure standards Technical customer support experience About the Role: Full-time, hands-on engineering role Based More ❯

able to work independently Willingness to learn and develop new skills Additional Experience (Not Essential): PCB design using KiCAD, Altium or Eagle Knowledge of data storage technologies (SATA, NVMe, SAS) Experience with test equipment (oscilloscopes, logic and bus analysers) Familiarity with secure data erasure standards Technical customer support experience About the Role: Full-time, hands-on engineering role Based More ❯

or cognate discipline. - Significant and sustained experience working with C/C Java or equivalent programming languages, or with data analysis/machine learning packages (e.g. MATLAB, R, SPSS, SAS). Please find our employee benefits on our website. Athena Swan Statement The School of Computing holds a Bronze Athena SWAN Award in recognition of our commitment to advancing More ❯

leading and managing technical teams. Strong understanding of cybersecurity frameworks and standards (e.g., NIST, ISO/IEC 27001, IAM). Proficiency with cybersecurity tools and platforms (e.g., SIEM, SOAR, SAS, Sandboxes, EDR solutions and cloud technologies). Working of knowledge of access control principles, cloud technologies (CNAPP, CSPM), data retention, and encryption methodologies. Excellent problem-solving, investigative mindset, and More ❯

Understands competitors and their products as well as potential partner relationships for the product along with Business Development • Enterprise Storage protocols, such as iSCSI, FC, NFS, CIFS, Object, NVMe, SAS, LTO, etc. • Security & Compliance standards (FIPS, APL, KMIP, TLS, etc.) Strong written and verbal communications skills with the ability to explain complex technology concepts into simple and intuitive communications More ❯

developing dashboards, and producing insightful MI to support decision-making. Key responsibilities Support the modernisation of data analysis and reporting (Power BI, Python, automation) Assist in the migration from SAS to Power BI and Python Produce regular and ad-hoc management information (MI) and data insights Collaborate with colleagues across risk and other functions on data governance Present findings … Analysis experience in banking Understanding of risk/financial terminology, or interest in developing this knowledge Strong technical skills in Power BI and Python Willingness to learn and apply SAS and SQL as needed McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds. More ❯

confidence in pricing algorithms and surrounding systems. Deliver clear, actionable analysis and reporting to inform business decisions and improve profitability. Maintain and update existing models using tools such as SAS, Python, and SQL. Collaborate across teams to resolve data issues and drive operational improvements. Mentor and support graduate analysts. Proactively identify opportunities to improve processes and analytical approaches. Requirements … . Proficiency in SQL, Python & Databricks preferred. Strong problem-solving and analytical skills, with a good understanding of statistical modelling. Excellent communication and reporting skills. Experience with insurance data, SAS, Radar, or Emblem is a plus but not essential. Self-motivated, detail-oriented, and able to work both independently and in a team. Location: United Kingdom, remote/flexible More ❯

business requirements and technical specifications Ensure that appropriate automation tooling is implemented and utilised to meet business and technical needs. Design and implement automation test strategies and plans for SAS Viya 4 applications, for UI based Visual Analytics (VA) and Intelligent Decisioning (ID), as well as for integration testing of data pipelines. Develop and maintain test scripts using appropriate … and integration testing. Support the integration of test automation into Git-based CI/CD pipelines (e.g., Jenkins, GitLab CI). Troubleshoot and resolve issues in test environments, including SAS Viya containerized deployments (e.g., OpenShift, Kubernetes). Contribute to test data management and environment provisioning strategies Ensure that appropriate defect management is undertaken Ensure results and progress are clearly … articulated to relevant stakeholders. Essential Skills & Experience: Proven experience in: Working in a collaborative agile environment Test automation for data and analytics platforms, ideally including SAS Viya 4. Assuring the appropriate tool selection for both business and technical needs Setting the strategy and approach for both UI and System Integration based automation Knowledge of REST API's and testing More ❯

business requirements and technical specifications Ensure that appropriate automation tooling is implemented and utilised to meet business and technical needs. Design and implement automation test strategies and plans for SAS Viya 4 applications, for UI based Visual Analytics (VA) and Intelligent Decisioning (ID), as well as for integration testing of data pipelines. Develop and maintain test scripts using appropriate … and integration testing. Support the integration of test automation into Git-based CI/CD pipelines (e.g., Jenkins, GitLab CI). Troubleshoot and resolve issues in test environments, including SAS Viya containerized deployments (e.g., OpenShift, Kubernetes). Contribute to test data management and environment provisioning strategies Ensure that appropriate defect management is undertaken Ensure results and progress are clearly … articulated to relevant stakeholders. Essential Skills & Experience: Proven experience in: Working in a collaborative agile environment Test automation for data and analytics platforms, ideally including SAS Viya 4. Assuring the appropriate tool selection for both business and technical needs Setting the strategy and approach for both UI and System Integration based automation Knowledge of REST API's and testing More ❯

life-saving work through data-driven insights and reporting. Key Responsibilities Conduct complex data analysis and produce detailed reports and trend insights Build and maintain dashboards using Power BI, SAS, SPSS, Excel, Access, SQL Server Communicate findings clearly through written reports and verbal presentations Work independently and take initiative in problem-solving Collaborate with stakeholders to understand data needs … and deliver actionable insights Essential Skills Strong experience with Power BI, SAS, SPSS, Excel, Access, SQL Server Excellent verbal and written communication skills Ability to work independently and manage multiple priorities Experience producing complex reports and trend analysis Familiarity with Pulse, Q Pulse, and Business Objectives Desirable Previous experience within the NHS or healthcare sector Additional Info Remote working More ❯

to London on a full time basis and be a UK Resident. You’ll have IRB Modelling experience, ideally in Mortgages though this isn’t a must. SQL/SAS OR Python and be smartly turned out – this is a client facing role. You’ll be educated in a quantitative discipline such as Economics, Finance, Statistics, Mathematics, or Financial … ASAP. Salary from £65-90k Base Keywords: Credit Risk Analyst, Modelling Analyst, Senior Credit Risk Analyst, Risk modeller, modelling analyst, Senior Analyst, IFRS9, IRB, Modelling, IFRS 9, Python, SAS, PhD, Quantitative, Quant, Analyst, Credit Risk Manager, Credit Risk Consultant More ❯

to London on a full time basis and be a UK Resident. You’ll have IRB Modelling experience, ideally in Mortgages though this isn’t a must. SQL/SAS OR Python and be smartly turned out – this is a client facing role. You’ll be educated in a quantitative discipline such as Economics, Finance, Statistics, Mathematics, or Financial … ASAP. Salary from £65-90k Base Keywords: Credit Risk Analyst, Modelling Analyst, Senior Credit Risk Analyst, Risk modeller, modelling analyst, Senior Analyst, IFRS9, IRB, Modelling, IFRS 9, Python, SAS, PhD, Quantitative, Quant, Analyst, Credit Risk Manager, Credit Risk Consultant More ❯

to London on a full time basis and be a UK Resident. You’ll have IRB Modelling experience, ideally in Mortgages though this isn’t a must. SQL/SAS OR Python and be smartly turned out – this is a client facing role. You’ll be educated in a quantitative discipline such as Economics, Finance, Statistics, Mathematics, or Financial … ASAP. Salary from £65-90k Base Keywords: Credit Risk Analyst, Modelling Analyst, Senior Credit Risk Analyst, Risk modeller, modelling analyst, Senior Analyst, IFRS9, IRB, Modelling, IFRS 9, Python, SAS, PhD, Quantitative, Quant, Analyst, Credit Risk Manager, Credit Risk Consultant More ❯

to London on a full time basis and be a UK Resident. You’ll have IRB Modelling experience, ideally in Mortgages though this isn’t a must. SQL/SAS OR Python and be smartly turned out – this is a client facing role. You’ll be educated in a quantitative discipline such as Economics, Finance, Statistics, Mathematics, or Financial … ASAP. Salary from £65-90k Base Keywords: Credit Risk Analyst, Modelling Analyst, Senior Credit Risk Analyst, Risk modeller, modelling analyst, Senior Analyst, IFRS9, IRB, Modelling, IFRS 9, Python, SAS, PhD, Quantitative, Quant, Analyst, Credit Risk Manager, Credit Risk Consultant More ❯

to London on a full time basis and be a UK Resident. You’ll have IRB Modelling experience, ideally in Mortgages though this isn’t a must. SQL/SAS OR Python and be smartly turned out – this is a client facing role. You’ll be educated in a quantitative discipline such as Economics, Finance, Statistics, Mathematics, or Financial … ASAP. Salary from £65-90k Base Keywords: Credit Risk Analyst, Modelling Analyst, Senior Credit Risk Analyst, Risk modeller, modelling analyst, Senior Analyst, IFRS9, IRB, Modelling, IFRS 9, Python, SAS, PhD, Quantitative, Quant, Analyst, Credit Risk Manager, Credit Risk Consultant More ❯

strategy, aligned with business goals. Maintain a roadmap for evolving analytics capabilities. Own and govern analytics platforms, embedding standards and compliance. Drive adoption of tools such as Power BI, SAS, and Databricks. Champion a hub-and-spoke delivery model and clarify responsibilities. Build communities of practice and embed data-driven decision making. Partner with senior stakeholders to prioritise initiatives … the Analytics & Insight Lead: Proven experience delivering analytics and insights at scale. Background in financial services, insurance, or other regulated sectors. Strong knowledge of tools such as Power BI, SAS, and Databricks. Experience setting governance frameworks and standards. Excellent communication and senior stakeholder management skills. Leadership experience mentoring data professionals and driving collaboration. Strategic thinker with strong problem-solving More ❯