26 to 50 of 203 SAS Jobs in the UK

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, 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 - Used for promotion & Management of code. SAS 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 … Capgemini 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: 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 - Used More ❯

of Credit, Market, and Liquidity Risk methodologies, along with experience in regulatory frameworks such as Capital Requirements Directive III, IV, or V. Strong technical skills in data analytics tools (SAS, SQL, Python) and visualisation tools (Power BI, Tableau, Qlik). Experience with Agile methodologies, IT controls, and software development lifecycles. Exceptional communication skills with the ability to engage stakeholders More ❯

of Credit, Market, and Liquidity Risk methodologies, along with experience in regulatory frameworks such as Capital Requirements Directive III, IV, or V. Strong technical skills in data analytics tools (SAS, SQL, Python) and visualisation tools (Power BI, Tableau, Qlik). Experience with Agile methodologies, IT controls, and software development lifecycles. Exceptional communication skills with the ability to engage stakeholders More ❯

Research, Statistics, or Econometrics • A relevant Master's degree is a strong advantage • Advanced Microsoft Excel skills (essential) • Problem solving skills • Experience managing large datasets using tools such as SAS, Stata, R, or Python • Strong communication skills and attention to detail • Comfortable working directly with clients and partners to obtain, validate, and interpret data If this sounds like the More ❯

use of ML techniques BASIC QUALIFICATIONS - 5+ years of data scientist experience - Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) - Experience with statistical models e.g. multinomial logistic regression - Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) - Experience working More ❯

and Experience Essential for a Data Insight Analyst Previous demonstrable analytical experience within financial services Collections or credit riskdata analysis experience essential Knowledge of relevant coding languages, eg SQL, SAS, Python, R. Excellent communication skills: able to convey findings to technical and non-technical audiences effectively. Proven ability to manage multiple priorities and meet deadlines in a fast-paced More ❯

Experience Essential for a Data Insight Analyst Previous demonstrable analytical experience within financial services Collections or credit risk data analysis experience essential Knowledge of relevant coding languages, eg SQL, SAS, Python, R. Excellent communication skills: able to convey findings to technical and non-technical audiences effectively. Proven ability to manage multiple priorities and meet deadlines in a fast-paced 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 ❯

to have Proven track record of developing and implementing successful fraud prevention strategies and initiatives to prevent first party fraud. Proficiency in one or more programming languages such as SAS, SQL, Python or R Significant knowledge and understanding of first party fraud risk and industry trends to identify risks that may impact our organisation. Demonstratable experience of successfully influencing More ❯

to have Proven track record of developing and implementing successful fraud prevention strategies and initiatives to prevent first party fraud. Proficiency in one or more programming languages such as SAS, SQL, Python or R Significant knowledge and understanding of first party fraud risk and industry trends to identify risks that may impact our organisation. Demonstratable experience of successfully influencing More ❯

system tuning from inception to completion Hands-on understanding on minimum of one TM systems across rule designs, segment designs, technical design and processes (e.g NICE Actimize, Oracle Mantas, SAS, FiServ) Good understanding on payment flows and data challenges Good SQL, Excel and Data Analysis on high volume of transaction data Personal Skills: Confidence to credibility with clients from 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 ❯

appreciation of consumer risk domain identifying differences between operational data processing ('OLTP') vs analytical data processing ('OLAP') Additional skills include: Appreciation of proprietary technologies such as Apache, Cloudera Hadoop, SAS (Statistical Analytic Systems) and their use in Banking Appreciation of change management delivery methodologies in Waterfall, Agile, SDLC (Software Development Lifecycle) and any project management exposure Working with teams 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 ❯

SAS Developer Rate - £450 per day via umbrella Duration - 6/12 months initial Location - South London twice a month on site We're working with a leading financial services client undergoing a significant data transformation programme. They're looking for an experienced SAS Developer to get hands-on with moving datasets, analysing reports, and supporting the re … flows and policies. What you'll be doing: Supporting the migration and transformation of datasets across platforms Investigating and optimising data flows, processes, and legacy reporting structures Interrogating existing SAS code, reviewing policies and suggesting improvements Working closely with BA, architecture and infrastructure teams to align on data movement strategy Tech you'll need: SAS v9.4 SAS Enterprise Guide (EG) Base SAS Strong SQL skills Experience working within regulated/financial services environments preferred This is a great opportunity to be part of a large-scale transformation and make an immediate impact on business-critical data operations. Please apply in the link available if suitable. Reasonable Adjustments: Respect and equality are core values to us. More ❯

You have experience with data analysis tools and techniques. You can effectively apply this knowledge to deliver analytical solutions that deliver business benefits. Examples of such tools include SPSS, SAS, SQL, R, and Python Desirable Criteria To help you succeed in this role, the following desirable criteria may be considered in the event of a tie between candidates: IT More ❯

You have experience with data analysis tools and techniques. You can effectively apply this knowledge to deliver analytical solutions that deliver business benefits. Examples of such tools include SPSS, SAS, SQL, R, and Python Desirable Criteria To help you succeed in this role, the following desirable criteria may be considered in the event of a tie between candidates: IT More ❯

You have experience with data analysis tools and techniques. You can effectively apply this knowledge to deliver analytical solutions that deliver business benefits. Examples of such tools include SPSS, SAS, SQL, R, and Python Desirable Criteria To help you succeed in this role, the following desirable criteria may be considered in the event of a tie between candidates: IT More ❯

You have experience with data analysis tools and techniques. You can effectively apply this knowledge to deliver analytical solutions that deliver business benefits. Examples of such tools include SPSS, SAS, SQL, R, and Python To help you succeed in this role, the following desirable criteria may be considered in the event of a tie between candidates: IT and mathematics More ❯

You have experience with data analysis tools and techniques. You can effectively apply this knowledge to deliver analytical solutions that deliver business benefits. Examples of such tools include SPSS, SAS, SQL, R, and Python To help you succeed in this role, the following desirable criteria may be considered in the event of a tie between candidates: IT and mathematics More ❯

You have experience with data analysis tools and techniques. You can effectively apply this knowledge to deliver analytical solutions that deliver business benefits. Examples of such tools include SPSS, SAS, SQL, R, and Python To help you succeed in this role, the following desirable criteria may be considered in the event of a tie between candidates: IT and mathematics More ❯

You have experience with data analysis tools and techniques. You can effectively apply this knowledge to deliver analytical solutions that deliver business benefits. Examples of such tools include SPSS, SAS, SQL, R, and Python To help you succeed in this role, the following desirable criteria may be considered in the event of a tie between candidates: IT and mathematics More ❯

You have experience with data analysis tools and techniques. You can effectively apply this knowledge to deliver analytical solutions that deliver business benefits. Examples of such tools include SPSS, SAS, SQL, R, and Python To help you succeed in this role, the following desirable criteria may be considered in the event of a tie between candidates: IT and mathematics 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 ❯