151 to 175 of 221 SAS Jobs in the UK excluding London

/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 ❯

will be spread across would cover; Delivery of an operational data layer for the bank (MongoDB, Confluent Kafka, Precisely CDC) Various Infrastructure Upgrades (Citrix, SAS, etc) Cloud Platform Landing Zone Design on AWS Qualifications Bachelor's degree in Computer Science, Engineering, or Mathematics 5+ years' of relevant experience Advanced More ❯

/sanctions/global trade compliance experience. Proficient in SQL data processing and skilled in using at least one professional analysis tool, such as SAS, Python, R, etc. Strong project management experience, good team collaboration skills, and ability to work under pressure. Fluent in English listening, speaking, reading, and More ❯

always get the basics right Sound decision making and critical thinking. It’s a bonus if you have but not essential Good knowledge of SAS programming language Familiarity with Machine Learning Engineering. Red Hot Rewards Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time More ❯

always get the basics right Sound decision making and critical thinking. It’s a bonus if you have but not essential Good knowledge of SAS programming language Familiarity with Machine Learning Engineering. Red Hot Rewards Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time More ❯

risk models. Prior experience leading projects or managing small teams is a plus. Strong programming and analytical skills using tools like Python, R, SQL, SAS, and Excel. A degree (or equivalent experience) in a numerical discipline. Solid knowledge of regulatory frameworks related to credit risk. Clear communicator with the More ❯

data platforms such Microsoft Customer Insights, Microsoft Customer Data, Microsoft Fabric, social marketing insights, and email marketing analytics would be beneficial. Experience in SQL, SAS, Python, or R programming. Knowledge of web analytics tools would be helpful but not essentail. Some exposure to AI tools such as Co Pilot. 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 ❯

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 More ❯

execution , ensuring projects are delivered at scale with impact Strong communication, collaboration, and documentation skills Experience with supporting a mixed operational model which includes SAS/managed services vs. on-prem model for B2B mid-sized to large global client organizations Support infrastructure using Linux/Kubernetes based implementations More ❯

level or equivalent in a numerical discipline. 3+ years' experience in insurance pricing or a related analytical background. Proficient in using programming languages (e.g., SAS) to manipulate data. Experience with predictive modelling techniques such as Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests More ❯

or Business Management. Experience and/or certification in leading data warehouse, analysis, and visualisation tools, such as Snowflake, Azure Synapse, Power Platform, Cognos, SAS, and Qlik, are highly valued. Relevant certifications, such as CISSP, PMP, ITIL, or CIO-level certifications, are advantageous. Experience with CAFM solutions, such as More ❯

working relationships. Demonstrate a ‘Can Do’ attitude with a desire to thrive in a dynamic and fast paced environment. Some knowledge of SQL/SAS is preferred but not essential. Sound experience and understanding of established procedures or systems. Evidence of problem solving, investigative and analytical skills. Evidence of More ❯

Please let me know if you might be interested. Proficiency in data analytics and modelling, with experience in programming languages (eg SQL, Python, R, SAS, or similar) and data modelling tools (eg ERStudio) Experience in applying statistical analysis and machine learning techniques to enhance financial crime detection models. Experience More ❯

in one of the following analytical areas; Targeting, Customer Segmentation, Pricing, Remediation & Securitisation Expert user of programming in at least one computer language e.g., SAS, R, Python. Experience at a large Consulting firm (preferably Analytics consulting). You are skilled at driving relationships with senior stakeholders across the business More ❯

SKILLS AND EXPERIENCE 4-7 years of experience in the financial modelling space. Hands on experience in wholesale IRB credit risk modelling. Experience in SAS, Python, R, or Matlab. Experience in ICAAP/ILAAP is desirable. Excellent written and verbal communication skills. Strong numerate degree from a Russel Group More ❯

skills required: Strong experience with IBM Cognos, Power BI and Qlik Cloud platform experience – either AWS or Azure Knowledge or experience supporting and administering SAS Analytics and Informatica Experience mentoring and supporting junior colleagues SQL experience Benefits Salary up to £66,000 + 20% bonus Hybrid working: Two days More ❯

executing a best in market pricing vision Proven ability to produce outstanding results based on own initiative Strong background in statistical methods Experience of SAS, Emblem, Radar, Excel and advanced statistical techniques Skills: People and project management skills Ability to drive continued Capability development of a team Ability to More ❯

Job Title: Data Analyst Financial Crime Get The Future You Want! Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by More ❯

cause analysis Support with changes on QRM systems Imporve QRM infrastucture To be considered you would need: Good knowledge of SQL and experience of SAS or python Systems and data experience, ideally experience using a QRM system or similar vendor product The ability to investigate data If this sounds More ❯

reporting. Change improvement (bugs). Experience: Systems supporting background. SQL reporting or development. Accountancy, banking or financial services background. Knowledge of programming languages (Python, SAS, or JavaScript). Viewpoint (essential). Location: This client has an office in Southampton and wants people in the office 3 times a week. More ❯

Generalized Linear Models (GLMs) Familiarity with machine learning methods, particularly Gradient Boosting Models (GBMs) Demonstrated experience working with large datasets Proficient in Python, SQL, SAS, or similar programming languages Experience with Willis Towers Watson software, including Radar and Emblem More ❯

customized, winning proposals. Qualifications ✅ Must-Have: 7+ years in B2B sales/business development, ideally in risk or analytics software (e.g., Murex, Moody’s, SAS, Finastra) and advisory services. Strong understanding of financial risk management and regulatory frameworks. Proven success in closing large deals with financial institutions. Comfortable selling More ❯

particular GLMs Knowledge of relevant machine learning techniques - in particular GBMs Proven experience in working with large data sources Good command of Python, SQL, SAS or similar coding languages Experience of Willis Towers Watson software such as Radar or Emblem Good understanding of the various elements of a Technical More ❯

a relevant Bachelor's degree. 2+ years of hands on experience in credit risk modelling. Exposure to IRB/IFRS 9 regulations. Proficiency in SAS or Python. Strong communicator with ability to interact with stakeholders of varying levels on a technical and non-technical basis. What’s on Offer More ❯