7 of 7 SAS Jobs in London

Strong diagnostic skills to identify issues within data sets and propose solutions. Proficiency in data analysis tools such as advanced MS Excel, SQL, Python, SAS, and R. Understanding of ETL, data management, and data quality best practices. Familiarity with cloud technologies and APIs. Impact You'll Make: What ...

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/ ...

pricing. Strong technical expertise in predictive modelling techniques (e.g. GLMs and machine learning models). Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software and optimisation tools. A quantitative degree in Mathematics ...

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 ...

PySpark Engineer Lead As the Technical Lead, you will drive the high-stakes migration of legacy SAS analytics to a modern, cloud-native PySpark ecosystem on AWS. This isn't just a lift and shift you will refactor complex procedural logic into scalable, production-ready distributed pipelines … Engineering Leadership: Design and develop complex ETL/ELT pipelines and Data Marts using PySpark, EMR, and Glue. Legacy Modernisation: Architect the conversion of SAS Base/Macros into modular, testable Python code using SAS2PY and manual refactoring. Performance Tuning: Optimise Spark execution (partitioning, shuffling, caching) to ensure cost ...

PySpark Engineer Lead As the Technical Lead, you will drive the high-stakes migration of legacy SAS analytics to a modern, cloud-native PySpark ecosystem on AWS. This isn't just a lift and shift you will refactor complex procedural logic into scalable, production-ready distributed pipelines … Engineering Leadership: Design and develop complex ETL/ELT pipelines and Data Marts using PySpark, EMR, and Glue. Legacy Modernisation: Architect the conversion of SAS Base/Macros into modular, testable Python code using SAS2PY and manual refactoring. Performance Tuning: Optimise Spark execution (partitioning, shuffling, caching) to ensure cost ...