1 to 25 of 35 SAS Jobs in the North West

members with complex projects. We need you to have Previous experience in banking, risk management and data management Familiarity with data mining tools (e.g. SAS, SQL etc) and creation/analysis of Management Information (MI). A demonstrable understanding of data manipulation and ETL processes A high-level qualification More ❯

members with complex projects. We need you to have Previous experience in banking, risk management and data management Familiarity with data mining tools (e.g. SAS, SQL etc) and creation/analysis of Management Information (MI). A demonstrable understanding of data manipulation and ETL processes A high-level qualification More ❯

members with complex projects. We need you to have Previous experience in banking, risk management and data management Familiarity with data mining tools (e.g. SAS, SQL etc) and creation/analysis of Management Information (MI). A demonstrable understanding of data manipulation and ETL processes A high-level qualification More ❯

data analysis and create proposals/provide recommendations on the back of analysis Any experience with Credit risk, risk assessment, Python, Machine Learning, SPSS, SAS, statistical or MI packages would be a bonus This Data Scientist role has lots of autonomy. For example, one project may be to look More ❯

range of Retail and Business credit portfolios, with a strong understanding of model usage. Substantial experience in model monitoring and development, using Power BI, SAS and R. Proficiency in developing and maintaining Management Information (MI) dashboards, using Power BI. Excellent analytical ability to solve complex problems, with a keen More ❯

range of Retail and Business credit portfolios, with a strong understanding of model usage. Substantial experience in model monitoring and development, using Power BI, SAS and R. Proficiency in developing and maintaining Management Information (MI) dashboards, using Power BI. Excellent analytical ability to solve complex problems, with a keen More ❯

range of Retail and Business credit portfolios, with a strong understanding of model usage. Substantial experience in model monitoring and development, using Power BI, SAS and R. Proficiency in developing and maintaining Management Information (MI) dashboards, using Power BI. Excellent analytical ability to solve complex problems, with a keen More ❯

background in writing rules for Fircosoft Continuity. Experience in managing watch lists using Fircosoft Multi List Manager. Knowledge and experience of Oracle SQL or SAS Enterprise Guide. Prior experience of working with watch list data including PEPs and sanctions. Knowledge of the control framework including control testing for name More ❯

background in writing rules for Fircosoft Continuity. Experience in managing watch lists using Fircosoft Multi List Manager. Knowledge and experience of Oracle SQL or SAS Enterprise Guide. Prior experience of working with watch list data including PEPs and sanctions. Knowledge of the control framework including control testing for name More ❯

background in writing rules for Fircosoft Continuity. Experience in managing watch lists using Fircosoft Multi List Manager. Knowledge and experience of Oracle SQL or SAS Enterprise Guide. Prior experience of working with watch list data including PEPs and sanctions. Knowledge of the control framework including control testing for name More ❯

always get the basics right Demonstrable sound decision making and critical thinking. It's a bonus if you have but not essential Experience using SAS and/or Python Good knowledge of Credit Risk Modelling including PD, EAD and LGD models Familiarity of IFRS 9 or Stress Testing models More ❯

always get the basics right Demonstrable sound decision making and critical thinking. It's a bonus if you have but not essential Experience using SAS and/or Python Good knowledge of Credit Risk Modelling including PD, EAD and LGD models Familiarity of IFRS 9 or Stress Testing models More ❯

always get the basics right Demonstrable sound decision making and critical thinking. It's a bonus if you have but not essential Experience using SAS and/or Python Good knowledge of Credit Risk Modelling including PD, EAD and LGD models Familiarity of IFRS 9 or Stress Testing models More ❯

/IRB) A degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) A solid foundation in statistical programming languages and data querying (SAS/SQL/Python/R). It's a bonus if you have but not essential Solid knowledge of Business Banking products and More ❯

/IRB) A degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) A solid foundation in statistical programming languages and data querying (SAS/SQL/Python/R). It's a bonus if you have but not essential Solid knowledge of Business Banking products and More ❯

/IRB) A degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) A solid foundation in statistical programming languages and data querying (SAS/SQL/Python/R). It's a bonus if you have but not essential Solid knowledge of Business Banking products and More ❯

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 software is preferred Proficient at communicating More ❯

organised with a strong attention to detail and able to work under pressure to tight deadlines. Experience in extracting and manipulating data in either SAS or SQL. Some of our benefits Flexible, hybrid working model Inclusive culture and environment, check out our Glassdoor reviews £1000 flexible benefits allowance to More ❯

complex dataset standards • Perform data checks and data exploration (e.g. using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation More ❯

complex dataset standards • Perform data checks and data exploration (e.g. using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation More ❯

complex dataset standards • Perform data checks and data exploration (e.g. using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation More ❯

complex dataset standards • Perform data checks and data exploration (e.g. using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation More ❯

complex dataset standards • Perform data checks and data exploration (e.g. using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation More ❯

skills Strong understanding of data warehousing and ETL principles Solid organisational skills including attention to detail and multi-tasking skills Experience/Knowledge of SAS software on SAS 9.4 platform architecture Experience/Knowledge of Oracle database solutions and other database platforms (SQL Server etc.) Experience with Python More ❯

channels and insurance products. You will have previous experience in general insurance pricing and be familiar with the tools of the trade, such as SAS, Python, RStudio, SQL, Emblem and Radar. With your naturally inquisitive mindset, you will be well versed in the UK personal lines insurance space, and … skills to: Conducting retail price optimisation analysis/modelling developing customer propensity and Life Time Value (LTV) models to produce the different models and SAS or SQL for data analysis Create innovative data solutions finding new ways to mine insight & present data Build and maintain sophisticated models, prioritising a … 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 software is preferred Proficient at communicating More ❯