13 of 13 SAS Jobs in London

Forensics, EDRM); Big Data and 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) and as an employment business More ❯

requirements and mitigate operational risks. Experience in system integration. Working knowledge of Agile Scrum methodology and ability to manage Agile teams. Knowledge of data mining and analytics application an (SAS, SQL, Python) and visualisation tool such as (Power BI, Tableau, Qlik) Understanding of requirements under Basel II, III, IV as well as well as best practices for Data Governance More ❯

digital or Marketing Agencies Consistent commercial experience in predictive analytics such as modelling, clustering, CHAID etc. Strong ability to use programming languages such as SQL and Python, R or SAS Comfortable using Web Analytics and reporting on this data. Excellent stakeholder management skills More ❯

Forensics, EDRM); Big Data and 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) and as an employment business More ❯

solution architecture You will look at Google cloud Data pipelines The migration from Google Process led Background Solution architect background Business Change experience across an enterprise Tools and expereince SAS Products Digital product Experience Migration from Google to Mircosoft AWS Powerapps solution experience IT Transformation experience Team make up Senior BA X2 Lead Data Engineer Senior Data Engineer If More ❯

and solution architecture You will look at Google cloud Data pipelines The migration from Google Process ledBackground Solution architect background Business Change experience across an enterprise Tools and expereince SAS Products Digital product Experience Migration from Google to Mircosoft AWS Powerapps solution experience IT Transformation experience Team make up Senior BA X2 Lead Data Engineer Senior Data EngineerIf interested More ❯

activity to help strengthen market position. Skills & Experience 1-3 years of experience in general insurance pricing or similar analytical roles. Strong data manipulation abilities with tools such as SAS, R, or Python. Understanding of predictive modelling approaches (e.g., logistic regression, GBMs). What's on Offer Hybrid & Flexible Working: Smart working options plus a minimum of 35 days More ❯

in finding highly qualified staff in the 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/CI); InfoSec and Cyber More ❯

not a necessity. If you have a logical mindset, problem-solving flair, and technical curiosity, then we are happy to teach you the rest. Experience with tools like SQL, SAS or Excel will help you thrive as you maintain and enhance our rating engine, support model integration, and ensure accuracy across our systems. You'll be part of a More ❯

background in risk modelling and 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 risk issues into business applications More ❯

data integration projects across multiple 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. o Collaborate with quantitative teams … and understanding the complex SQL 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. More ❯

SAS Marketing Analyst - 6-Month FTC | Up to £55,000 | London (Hybrid) Start: ASAP (January start also possible) A leading global marketing agency is looking for a SAS Marketing Analyst to join its Marketing Science team on a 6-month fixed-term contract , with strong potential to extend. You'll work on one of the agency's largest … volumes, customer response, etc.) Conduct post-campaign analysis and segmentation work Produce profiling, targeting, and customer journey insights Respond to ad-hoc analytical questions Manipulate large datasets within a SAS/SQL environment Improve and streamline existing reporting What We're Looking For Essential: Strong SAS programming experience Solid SQL skills (including SQL within SAS) Advanced Excel More ❯

journey analysis. Data Investigation & Ad-Hoc Insight Responding to ad-hoc analytical queries from internal teams and external stakeholders. Extracting and manipulating large datasets within a legacy Oracle/SAS environment. Working with data covering licence status, payment behaviours, churn and lapsing, exemptions, non-viewers, and channel performance. Improvements & Optimisation Reviewing existing reporting to improve clarity, efficiency, or automation … opportunities. Identifying redundant reporting to streamline ongoing workloads. Contributing ideas - the team openly welcomes suggestions for better ways of working. SKILLS & EXPERIENCE REQUIRED Essential: Strong SAS experience (core requirement for these roles). Solid SQL skills (SQL within SAS also suitable). Advanced Excel capability. Comfortable working with large, complex, and historical datasets. Nice to Have: Exposure to … highly experienced analytics function with strong support and knowledge-sharing. Shape reporting, forecasting, and targeting approaches that influence major national campaigns. Perfect opportunity for someone who enjoys hands-on SAS work and uncovering insight within complex data environments. More ❯