18 of 18 SAS Jobs in Central London

NoSQL etc. Experience with data 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 with SQL Experience in the More ❯

Research, Statistics, or Econometrics A relevant Master’s degree is a strong advantage Advanced Microsoft Excel skills (essential) Problem solving skills Experience managing large datasets using tools such as SAS, Stata, R, or Python Strong communication skills and attention to detail Comfortable working directly with clients and partners to obtain, validate, and interpret data If this sounds like the More ❯

for: A 2:1 degree or higher in a quantitative subject (Maths, Physics, Economics, etc.) Strong Excel skills (pivot tables, array formulas, nested functions) Some experience with R, Python, SAS or Stata is desirable Great attention to detail and clear written communication Analytical mindset with a genuine interest in problem solving Applicants must have full UK working rights. If More ❯

underwriting and technical modelling teams. ✔️ Personal Lines Pricing experience (Motor, Home or Pet) ✔️ Strong skills in predictive modelling – e.g., GLMs, GBMs, GAMs, Random Forests ✔️ Proficiency in R, Python, PySpark, SAS or SQL ✔️ Experience with Radar and/or Emblem ✔️ A numerate degree (e.g., Maths, Stats, Actuarial, Engineering) ✔️ Strong communication and stakeholder management skills They’re a collaborative, data-driven More ❯

and stakeholders Helping shape model governance throughout the model lifecycle 🛠 What we're looking for: 2–3 years’ experience in model validation or development Proficiency in Python, R, SQL, SAS or similar tools Strong communication skills and analytical mindset Bonus: Familiarity with regulatory frameworks (EBA, CRR, PRA More ❯

design and implementation of workflow solutions that provide long-term scalability, reliability, and performance, and integration with reporting. Required Skills: Expertise and hands-on experience in advanced programming using: SAS/Python/pySpark and SQL for data mining; additional experience and knowledge of Big Data tools preferred. Excellent Python programming skills, including experience with relevant analytical and machine More ❯

of digital marketing and data analytics • Strong attention to details & analytical personality • Advanced Microsoft Office skills (Excel, PPT), bonus for knowledge of Power BI and affinity for SPSS, R, SAS • Team player that takes responsibility for the tasks assigned • Structured and self-organized combined with open and strong communication skills and confidence to present to clients & internal teams • Fluent More ❯

modelling techniques; Logistic Regression, GBMs, 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 and Emblem software is preferred Proficient at communicating results in a More ❯

models YOUR SKILLS AND EXPERIENCE Essential to have experience in model development or validation Exposure to IFRS9 and wider credit models is essential Experience in Python/SQL/SAS/R Educated to at least degree level in a numerate degree SALARY AND BENEFITS Up to £65,000 base salary Hybrid work model Private medical care 25 days More ❯

clear documentation & reporting ✅ Supporting model calibration and ongoing reviews 🧰 Your Toolkit : 📘 Background in Stats, Maths, Data Science or Engineering 💡 Strong knowledge of IRB, CRR, EBA & PRA regs 🛠️ Proficiency in SAS/SQL/other data tools 🧩 Sharp analytical & problem-solving skills 🗣️ Excellent communication & report-writing abilities 🤝 A proactive team player ready to make an impact 🎯 Why Join? Work at More ❯

preference for anti-money laundering/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 writing; proficiency in Chinese communication More ❯

SKILLS AND EXPERIENCE Providing expertise 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, with the ability to influence More ❯

development YOUR SKILLS AND EXPERIENCE : Prior experience with technical pricing modelling or wider pricing strategy experience Experience using Earnix, Emblem or Radar Good knowledge of programming software such as SAS, SQL, Python or R would also be desirable Strong communication skills and desire to ‘hit the ground running’ SALARY AND BENEFITS Up to £50,000 base salary Discretionary bonus More ❯

for improvement Requirements: At least 2 years of experience in a pricing or data analysis role, preferably within the insurance industry Proficiency in data analysis tools such as Excel, SAS, Python, or R Strong knowledge of predictive analytics, machine learning techniques, and demand modeling High attention to detail, with a keen ability to spot trends and anomalies in large More ❯

for improvement Requirements: At least 2 years of experience in a pricing or data analysis role, preferably within the insurance industry Proficiency in data analysis tools such as Excel, SAS, Python, or R Strong knowledge of predictive analytics, machine learning techniques, and demand modeling High attention to detail, with a keen ability to spot trends and anomalies in large More ❯

for improvement Requirements: At least 2 years of experience in a pricing or data analysis role, preferably within the insurance industry Proficiency in data analysis tools such as Excel, SAS, Python, or R Strong knowledge of predictive analytics, machine learning techniques, and demand modeling High attention to detail, with a keen ability to spot trends and anomalies in large More ❯

of our marketing department. You 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 experience with these tools and More ❯

updated for model changes Support change on-going maintenance of the models. Essential Skills/Experience IFRS9 – hands on experience or worked on projects IFRS9 Provisioning IFRS9 Modelling Strong SAS experience Credit risk – broad experience Please apply More ❯