8 of 8 Permanent SAS Jobs in Central London

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 ❯

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 ❯

the business on ad hoc project work YOUR SKILLS AND EXPERIENCE : At least 3 years prior experience in pricing analytics within insurance Good knowledge of Python/SQL/SAS/R is essential Prior exposure to or experience with rate changes is essential Strong communication skills and desire to learn is key SALARY AND BENEFITS Up to More ❯

reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. Share updates internally and in client meetings. Collaborate with the Veramed team to ensure timely, high-quality deliverables. More ❯

reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. Share updates internally and in client meetings. Collaborate with the Veramed team to ensure timely, high-quality deliverables. More ❯

reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. Share updates internally and in client meetings. Collaborate with the Veramed team to ensure timely, high-quality deliverables. More ❯

banking sectors. Apply statistical techniques (e.g., regression, machine learning, decision trees, CHAID analysis, and cluster analysis) to address business challenges. Utilise data mining tools and programming languages such as SAS, SQL, and Python to prepare data, perform analyses, and develop solutions for internal and external clients. Present proposals, methodologies, and results to stakeholders, explaining complex statistical techniques to diverse … regulatory environment in which clients operate. Collaborate closely with internal Sales and Strategy Consulting teams to identify and shape broader opportunities and solutions. YOUR SKILLS AND EXPERIENCE Experience with SAS, SQL, or Python in a credit risk environment is required. Strong academic background in a STEM field. Experience with credit bureau data needed. 6 + years of experience in More ❯

to London on a full time basis and be a UK Resident. You’ll have IRB Modelling experience, ideally in Mortgages though this isn’t a must. SQL/SAS OR Python and be smartly turned out – this is a client facing role. You’ll be educated in a quantitative discipline such as Economics, Finance, Statistics, Mathematics, or Financial … ASAP. Salary from £65-90k Base Keywords: Credit Risk Analyst, Modelling Analyst, Senior Credit Risk Analyst, Risk modeller, modelling analyst, Senior Analyst, IFRS9, IRB, Modelling, IFRS 9, Python, SAS, PhD, Quantitative, Quant, Analyst, Credit Risk Manager, Credit Risk Consultant More ❯