1 to 25 of 31 Permanent SAS Jobs in the North of England

with the ability to effectively collaborate with cross-functional teams. Ability to articulate complex analytical concepts to non-technical stakeholders. Proficiency in one or more programming languages such as SAS, SQL, Python or R It's a bonus if you have but not essential Knowledge of CIFAS rules and procedures in the context of first party fraud. Experience influencing More ❯

with the ability to effectively collaborate with cross-functional teams. Ability to articulate complex analytical concepts to non-technical stakeholders. Proficiency in one or more programming languages such as SAS, SQL, Python or R It’s a bonus if you have but not essential Knowledge of CIFAS rules and procedures in the context of first party fraud. Experience influencing More ❯

and initiatives to prevent fraud. Demonstratable experience of developing automated fraud controls with disparate data sources. Analytical with intermediate-level proficiency with one or more programming languages such as SAS, SQL, Python or R Experience influencing stakeholders and driving change throughout an organisation. Knowledge and understanding of fraud risk and industry trends to identify risks that may impact our 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

products and applications at an advanced level - Knowledge of credit lifecycle including PD/LGD/EAD - Working knowledge of SQL and/or other scripting languages such as SAS/Python/R PREFERRED QUALIFICATIONS - Project Management Professional (PMP) or equivalent certification - Experience leveraging technology and implementing lean principles/Six Sigma methodologies to drive process improvements or More ❯

insight. Ability to ensure scalable, secure, and reliable data infrastructure that enables lifecycle analytics and supports revenue and growth objectives. Expertise in analytical and querying tools such as Python, SAS, or SQL. Ability to promote a data-first culture by improving data understanding, accessibility, and confidence across the organisation, while championing the strategic value of data in achieving business More ❯

bring to the role? A wealth of working experience in financial services credit risk management, ideally with experience within the Mortgage Market. Strong, proven analytical skills, including experience of SAS/SQL and/or Python. Proven experience of identifying, recommending and supporting implementation of credit decision strategy change. Experience of working across teams on multiple projects, providing Credit More ❯

bring to the role? A wealth of working experience in financial services credit risk management, ideally with experience within the Mortgage Market. Strong, proven analytical skills, including experience of SAS/SQL and/or Python. Proven experience of identifying, recommending and supporting implementation of credit decision strategy change. Experience of working across teams on multiple projects, providing Credit More ❯

model lifecycle. Ideally 2-3 years of experience in model validation or model development. Expert in the use of analytical tools such as Python/R/SQL/SAS and spreadsheets. Some knowledge of regulatory and risk management guidelines, such as EBA guidelines, CRR and PRA rules would be a bonus. Ability to articulate findings from analysis in More ❯

About you With experience in preparing reports and presenting data and business information to senior management, you will have: Advanced Excel, including pivot tables and developing macro SQL/SAS experience Power BI experience preferable High attention to detail and high level of accuracy Proficient in Microsoft Office packages Excellent analytical and problem-solving skills To be a reliable More ❯

shoppers covering every corner of the globe, driven by some of the world's most innovative airline retail brands. Datalex's customers include, Air China, JetBlue Airways, Hainan Group, SAS, Philippine Airlines, Aer Lingus, Brussels Airlines, Air Transat, Air Malta, STA Travel and Trailfinders. The company is headquartered in Dublin, Ireland, and maintains offices across Europe, the USA and More ❯

and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. More ❯

and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. More ❯

and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. 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 ❯

expert on Assembler is a must . • 10+ years of experience in mainframe development complex programs using Cobol, including: JCL, IMS DB/DC, DB2, Netron, VSAM, CICS, CA7, SAS, SDSF. • 5+ years' Experience with Security and environment control systems (Endevor, ACF2), Problem Analysis (Fault Analyzer), Database Management (e.g. IMS, DB2, VSAM) • 5+ years' experience in Utilities and productivity More ❯

industry. Investment experience and understanding of markets, investor behavior and instrument types. A background in using data analytics and data modelling to solve business problems. Technical capabilities to include SAS and Snowflake. Ability to use modelling software, access data data sources and optimize their performance. Ability to work with third party research and data partners on specific and ongoing More ❯

3LZ, Sheffield S3 8NU About the job Job summary We are looking for people who are passionate about Engineering to join our community led team in Shared Applications Service (SAS). You will work in agile multidisciplinary teams with over 200 engineers in a modern cloud environment using the latest technologies. Our purpose as a team is to bring More ❯

3LZ, Sheffield S3 8NU About the job Job summary We are looking for people who are passionate about Engineering to join our community led team in Shared Applications Service (SAS). You will work in agile multidisciplinary teams with over 200 engineers in a modern cloud environment using the latest technologies. Our purpose as a team is to bring More ❯

serviceapproachesacrossthebusiness,underpinnedbytechnology,governance,anddatasciencecapabilities.Thedatateamwillprovideinsightsthatdriveimprovedstrategicoutcomesforourbusiness;usingdataasthefoundationforallwedo. Theidealcandidatewillpossessastrongtechnicalgrounding,trackrecordofproblemsolving,commercialacumenandexperienceinaseniorroleleadingdatateams. Whatwe'relookingfor: Demonstratedleadershipindatastrategyandexecution,withatrackrecordofdeliveringdatainitiativesalignedtobusinessgoals. Provenabilitytobuild,lead,anddevelophigh-performingteamsacrossdataanalytics,datascience,governance,andengineering. Proventrackrecordofleadingdata-driventransformation,usinganalyticstounlockmeasurablebusinessimpact,enabledata-leddecisions,informproductdevelopment,andenhancecustomerinsight.Abilitytoensurescalable,secure,andreliabledatainfrastructurethatenableslifecycleanalyticsandsupportsrevenueandgrowthobjectives. ExpertiseinanalyticalandqueryingtoolssuchasPython,SAS,orSQL. Abilitytopromoteadata-firstculturebyimprovingdataunderstanding,accessibility,andconfidenceacrosstheorganisation,whilechampioningthestrategicvalueofdatainachievingbusinessgoals.Abilitytodemonstrateastrongcommitmenttocontinuouslearning,stayingaheadofevolvingdatatechnologiesandindustrytrendstomaintainbestpracticeandsupportongoingimprovements.Abilitytomaintainstrategicvision,coupledwithattentiontodetail. Customer-focused,withadetailedunderstandingofrelevantlegislationandregulation. Adaptabletoaconstantlychangingdataandbusinessenvironment,withtheabilitytopivotstrategiesinresponsetoinnovativetechnologies,insights,orregulatorydevelopments.Experiencewithcloudplatforms(e.g.,AWS,Azure,GoogleCloud)andbigdatatechnologies(e.g.,Snowflake,Spark). Strongcommunicationskills,withtheabilitytodistilcomplexdataconceptsintoclearmessagesfornon-technicalstakeholders. Excellentstakeholdermanagementandcrossfunctionalcollaborationskillswiththeabilitytobuildrapportatalllevels. Previousexperienceinfinancialservicesorotherhighlyregulatedsectorsisadvantageous. More ❯