15 of 15 SAS Jobs in the North of England

build, and deploy data solutions that explore, capture, transform, and utilize data to support AI, ML, and BI Proficiency in data science languages/tools such as R, Python, SAS Awareness of ITIL (Incident, Change, Problem management) Diversity, Equity and Inclusion To attract the best people, we strive to create a diverse and inclusive environment where everyone can bring More ❯

rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change More ❯

services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is a plus More ❯

services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is a plus More ❯

utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to listen, understand and respond professionally to a range of stakeholders Proficiency in More ❯

modelling analytics within banking with an understanding of model usage Practical experience of distilling and interpreting complex data and analysis Expertise in the use of statistical analysis software (e.g. SAS, Python, R) as well as MS Office Demonstrable understanding of statistical modelling techniques such as hypothesis testing, probability distributions and Regression. It’s a bonus if you have but More ❯

modelling analytics within banking with an understanding of model usage Practical experience of distilling and interpreting complex data and analysis Expertise in the use of statistical analysis software (e.g. SAS, Python, R) as well as MS Office Demonstrable understanding of statistical modelling techniques such as hypothesis testing, probability distributions and Regression. It’s a bonus if you have but More ❯

data and analytics skills, with the ability to translate complex analysis into clear insights using concise visuals and narratives to support lending strategy discussions with senior partners. Proficiency in SAS/SQL and solid understanding of Microsoft Office tools. Experience using segmentation and modelling to support decision-making. Desirable Skills: Background in Consumer Lending product environments. About working for More ❯

data and analytics skills, with the ability to translate complex analysis into clear insights using concise visuals and narratives to support lending strategy discussions with senior partners. Proficiency in SAS/SQL and solid understanding of Microsoft Office tools. Experience using segmentation and modelling to support decision-making. Desirable Skills: Background in Consumer Lending product environments. About working for More ❯

data and analytics skills, with the ability to translate complex analysis into clear insights using concise visuals and narratives to support lending strategy discussions with senior partners. Proficiency in SAS/SQL and solid understanding of Microsoft Office tools. Experience using segmentation and modelling to support decision-making. Desirable Skills: Background in Consumer Lending product environments. About working for More ❯

data and analytics skills, with the ability to translate complex analysis into clear insights using concise visuals and narratives to support lending strategy discussions with senior partners. Proficiency in SAS/SQL and solid understanding of Microsoft Office tools. Experience using segmentation and modelling to support decision-making. Desirable Skills: Background in Consumer Lending product environments. About working for More ❯

Produce model methodology and documentation Interact closely with stakeholders regarding model developments Work closely with data science and model validation teams SKILLS AND EXPERIENCE Experience using Python or R (SAS will be considered) Experience building IFRS9, scorecard or affordability models A strong university degree in a numerate discipline SALARY AND BENEFITS Up to £65,000 base salary Enhanced pension 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 ❯

modelling analytics within banking with an understanding of model usage Practical experience of distilling and interpreting complex data and analysis Expertise in the use of statistical analysis software (e.g. SAS, Python, R) as well as MS Office Demonstrable understanding of statistical modelling techniques such as hypothesis testing, probability distributions and Regression. It's a bonus if you have but More ❯

predictive models with various software packages to join them as a Senior Pricing Analyst. An ideal opportunity for a candidate with strong systems experience of Radar, Emblem, Python and SAS to join as a Senior Pricing Analyst. Responsibilities of Senior Pricing Analyst: Build predictive models using SAS, Radar, Emblem, and other software packages Lead and oversee research efforts … of analysts, ensuring that they meet their delivery targets Key Experience of the Senior Pricing Analyst: Significant experience in a Non-Life Pricing role Strong understanding of systems - Radar, SAS, Emblem Strong level of numerical thinking Our client is looking to recruit a strong Senior Pricing Analyst as soon as possible and looking to hold interviews immediately. If you More ❯