8 of 8 SAS Jobs in Central London

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 ❯

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 ❯

Cloudamize, Cloudreach, Cryptovision, DataSentics, Edifixio, Engage ESM, Evidian, Forensik, IDEAL GRP, In Fidem, Ipsotek, Maven Wave, Profit4SF, SEC Consult, Visual BI, X-Perion. Eviden is a registered trademark. © Eviden SAS, 2025. We Care About Our Employees' Happiness By providing: 25 days paid leave. Wellbeing program & work- life balance- integration and passion sharing events. Private medical cover Pension contributions up 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 ❯

You’ll be working with metadata management, data harmonisation, quality score carding, data lineage, and profiling —all critical for building robust data governance. What You’ll Be Doing: ✅ Applying SAS and other analytical tools to extract insights from complex data sets ✅ Profiling and scoring data quality to drive real business impact ✅ Investigating data lineage and ensuring end-to-end … best practices ✅ Working closely with data stewards, business users, and tech teams to solve data challenges Who You Are: 🔥 Passionate about data quality and continuously improving processes 📈 Experienced in SAS , SQL, Power BI, and other analytics tools 🛠️ Skilled in data governance, lineage, and metadata management 📚 Familiar with regulatory frameworks like GDPR, BCBS, CCPA More ❯