24 of 24 Part-Time SAS Jobs in London

visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience More ❯

visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience More ❯

into the technical knowhow of modelling, validation techniques and knowledge of regulatory requirements and restrictions Experience in programming languages and data structures such as SAS, Python, R, SQL is key. With Python background, particularly familiarity with pandas/polars/pyspark, pytest; understanding of OOP principles; git version control More ❯

Basel III/IV , or similar regulatory frameworks. Strong understanding of ECL modeling , risk systems, and financial data flow. Familiarity with tools such as SAS , Python , or R . Excellent documentation, stakeholder communication, and solution design skills. 🎓 Preferred Qualifications: Degree in Mathematics, Statistics , or a related quantitative field. PRINCE2 More ❯

model changes on capital requirements. REQUIREMENTS IRB model development experience Strong proficiency in statistical modeling techniques, with experience in tools such as R, Python, SAS, or SQL. A degree in a quantitative field such as mathematics, statistics, economics, or finance; a postgraduate qualification is a plus. Please apply below 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

personal and/or commercial lines insurance products.. Candidates should have experience in using data manipulation and statistical software packages such as R, Python, SAS, Emblem etc. Candidates should also be logical thinkers and be able to assess multiple approaches to solving problems. Full actuarial study support is on More ❯

will collaborate with them to ensure that the development and analysis roadmap of your team reflects their requirements. Your team will mainly be using SAS and PowerBI, in combination with data pipeline development and analysis on the Azure cloud, using Databricks. The coding language used is Python. An earlier More ❯

stakeholders and client presentations Experience & Skills Required Strong econometric modelling skills using tools such as R, Python, or other statistical software packages (e.g., EViews, SAS) Experience with model validation, diagnostics, and performance metrics Ability to handle large datasets, clean and transform raw data, and apply advanced statistical techniques such More ❯

regulatory processes Nice to Have : Assembler, Automation, GDPS, Rexx and CLIST skills Proficient in Top Secret skills Performance monitoring using Omegamon, RMF, SMF and SAS More ❯

Mathematics, Computer Science, or related discipline; advanced degree preferred. Extensive experience in statistical programming within the pharmaceutical, biotechnology, or CRO industry. Advanced proficiency in SAS, R, and Python. Experience with statistical computing environments and cloud-based platforms. Hands-on experience with macros, automation tools, and innovative solutions. Familiarity with … machine learning, artificial intelligence, and data visualization tools. Proven ability to manage multiple projects and coordinate with external vendors. Mastery of SAS programming for clinical trial data analysis. Knowledge of CDISC standards and regulatory submission requirements. Strong problem-solving skills with a focus on automation and process improvement. Ability More ❯

of this role is: Perform regular data product refreshes Help improve the existing data product refresh processes Help the migration of data products From SAS to Python From on-premises to AWS Key Responsibilities Follow existing workflows to refresh a subset of our existing data products Refresh existing internal … refresh processes Look for opportunities to improve the product refresh process, particularly greater use of automation The existing data products comprise extensive use of SAS, csv, some use of SQL, Excel and increasing use of Python There are also extensive dependencies between the products, which means that evolution of … currently significant manual involvement during the processes, which we are seeking to reduce where possible Assist in the migration of the data products from SAS to Python Most of our code base is in SAS Going forward, major redevelopments of our products will take place in Python Contribute More ❯

credit strategy, portfolio performance, and commercial decision-making. Responsibilities: Building and maintaining dashboards and BI tools in Tableau Analysing large datasets using SQL and SAS to extract meaningful insights Supporting strategic decisions around risk appetite , product design , and portfolio performance Collaborating with stakeholders across sales, product, and credit Requirements … Proven experience in a BI or data analyst role Strong technical skills in SQL, SAS , and Tableau (or similar) 2:1 or above from a top university A commercial mindset Exposure to financial services or property data Full rights to work in the UK More ❯

solutions for real-world data projects in a collaborative FSP-style setup. Create and validate analysis datasets and outputs using R (preferred), SQL (or SAS Proc SQL), and SAS . Tackle data challenges using structured, creative approaches, working with real-world datasets. Contribute to shaping best practices in … a statistical programmer, with exposure to RWE or observational data. Strong hands-on experience in R and/or SQL/Proc SQL/SAS Comfortable working independently with real-world datasets (EHR, claims data, registries, etc.) A BSc (or higher) in a relevant field (statistics, mathematics, computer science More ❯

solutions for real-world data projects in a collaborative FSP-style setup. Create and validate analysis datasets and outputs using R (preferred), SQL (or SAS Proc SQL), and SAS . Tackle data challenges using structured, creative approaches, working with real-world datasets. Contribute to shaping best practices in … a statistical programmer, with exposure to RWE or observational data. Strong hands-on experience in R and/or SQL/Proc SQL/SAS Comfortable working independently with real-world datasets (EHR, claims data, registries, etc.) A BSc (or higher) in a relevant field (statistics, mathematics, computer science More ❯

solutions for real-world data projects in a collaborative FSP-style setup. Create and validate analysis datasets and outputs using R (preferred), SQL (or SAS Proc SQL), and SAS . Tackle data challenges using structured, creative approaches, working with real-world datasets. Contribute to shaping best practices in … a statistical programmer, with exposure to RWE or observational data. Strong hands-on experience in R and/or SQL/Proc SQL/SAS Comfortable working independently with real-world datasets (EHR, claims data, registries, etc.) A BSc (or higher) in a relevant field (statistics, mathematics, computer science More ❯

solutions for real-world data projects in a collaborative FSP-style setup. Create and validate analysis datasets and outputs using R (preferred), SQL (or SAS Proc SQL), and SAS . Tackle data challenges using structured, creative approaches, working with real-world datasets. Contribute to shaping best practices in … a statistical programmer, with exposure to RWE or observational data. Strong hands-on experience in R and/or SQL/Proc SQL/SAS Comfortable working independently with real-world datasets (EHR, claims data, registries, etc.) A BSc (or higher) in a relevant field (statistics, mathematics, computer science More ❯

DATA SCIENTIST – PRICING UP TO £68,000 LONDON This is an exciting opportunity to join the Pricing and Underwriting team where you will be able to develop your own ideas, bring them to life, and directly influence the key business More ❯