9 of 9 SAS Jobs in London

developing/implementing data strategies. Proficiency in web analytics solutions (e.g., Google Analytics, Adobe Analytics, ContentSquare), data analytics tools/languages (SQL, Python, R, SAS), and data visualization platforms (e.g., Tableau, Power BI). Strong understanding of statistical methods, machine learning, data mining techniques, data warehousing solutions, big data ...

Data Analytics- (MI/BI/CI); InfoSec and Cyber Crime; Audit; Accountancy and Finance; FinTech (Payments etc.); Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.); Compliance/Corporate Governance; IT- (full SDLC- BA’s PM’s , Architects, Developers etc.); Brimstone Consulting acts as an employment agency (permanent ...

Data Analytics- (MI/BI/CI);InfoSec and Cyber Crime; Audit; Accountancy and Finance; FinTech (Payments etc.);Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.);Compliance/Corporate Governance ;IT- (full SDLC- BA’s PM’s , Architects, Developers etc.); Brimstone Consulting acts as an employment agency (permanent ...

following areas: E-Discovery and Digital Forensics; Payments; Fraud - (AML/CTF, Investigation, CFE’s etc.); Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.); Compliance/Corporate Governance ; IT - (full SDLC- BA’s PM’s , Architects, Developers etc.); Big Data and Data Analytics - (MI/BI/ ...

using these insights to inform business decisions Proven experience building risk models from scratch and enhancing existing ones Excellent skills in R, Python, or SAS Experience leading complex model updates (both operational enhancements and full development projects) with clear communication of outcomes Ability to present to stakeholders and translate ...

platforms, ensuring high performance and scalability. o Perform data quality checks and implement controls for risk-related datasets. Risk Modelling & Analytics: o Work with SAS, Python, and other analytical tools to support risk model development and validation. o Integrate risk models into data pipelines for automated reporting and analysis. … queries and data warehousing concepts. Knowledge of BCBS239 principles and regulatory risk data aggregation requirements. Good if you have experience with risk modelling tools (SAS, Python) and ETL frameworks. Familiarity with data governance, lineage, and metadata management. Excellent problem-solving and communication skills. ...

role Qualification The Solutions Architect role at client is critical, as we design cutting-edge solutions for some of the biggest global enterprises. Our SAs drive customer success by aligning business goals with IT services, software products, platforms, and infrastructure. They are creative problem solvers who collaborate closely with … clients to understand challenges and architect solutions that address them. In a rapidly evolving technology landscape filled with countless tools and platforms, SAs play a vital role in helping customers make the right technology choices, ensuring both immediate and long-term success. The Skills You'll Need: Experience ...

planning across clinical trials and non-interventional studies (NIS). Lead the development and programming of statistical analyses, tables, figures, and listings (TFLs) using SAS, ensuring alignment with sponsor requirements and internal standards. Generate and validate derived analysis datasets in compliance with CDISC ADaM standards. Author, review, and ensure … trials. Demonstrated experience working with CDISC standards (including SDTM and ADaM). Good knowledge of the industrial standards (CDISC, ICH E9, GCP) Proficiency in SAS and R programming with a minimum of 5 years of experience with both software. Prior experience acting as a client-facing lead statistician, including ...

planning across clinical trials and non-interventional studies (NIS). Lead the development and programming of statistical analyses, tables, figures, and listings (TFLs) using SAS, ensuring alignment with sponsor requirements and internal standards. Generate and validate derived analysis datasets in compliance with CDISC ADaM standards. Author, review, and ensure … trials. Demonstrated experience working with CDISC standards (including SDTM and ADaM). Good knowledge of the industrial standards (CDISC, ICH E9, GCP) Proficiency in SAS and R programming with a minimum of 5 years of experience with both software. Prior experience acting as a client-facing lead statistician, including ...