1 to 25 of 32 Remote SAS Jobs in London

NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modelling, 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 modelling Experience with SQL Experience in the More ❯

of Credit, Market, and Liquidity Risk methodologies, along with experience in regulatory frameworks such as Capital Requirements Directive III, IV, or V. Strong technical skills in data analytics tools (SAS, SQL, Python) and visualisation tools (Power BI, Tableau, Qlik). Experience with Agile methodologies, IT controls, and software development lifecycles. Exceptional communication skills with the ability to engage stakeholders More ❯

of Credit, Market, and Liquidity Risk methodologies, along with experience in regulatory frameworks such as Capital Requirements Directive III, IV, or V. Strong technical skills in data analytics tools (SAS, SQL, Python) and visualisation tools (Power BI, Tableau, Qlik). Experience with Agile methodologies, IT controls, and software development lifecycles. Exceptional communication skills with the ability to engage stakeholders More ❯

teams. Desired Skills Python expertise, especially with data libraries like Pandas, NumPy, and Scikit-learn. Familiarity with ETL tools and data pipeline orchestration. Exposure to data science tools like SAS or Posit. Experience in performance-critical environments, particularly with large-scale data platforms. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job More ❯

impactful decisions in a thriving financial setting. We are looking for a skilled analyst to enhance model risk management through data analysis and quantitative methods. Bring your expertise in SAS, SQL, and Python to design, maintain, and support innovative risk management solutions while collaborating with global teams. Join us in shaping the future of financial risk! Risk Analytics Library More ❯

EXPERIENCE Proven experience in developing PD and LGD models under IFRS 9. Strong understanding of credit risk across mortgage portfolios. Prior line management or mentoring experience. Advanced proficiency in SAS (knowledge of Python or R is also beneficial). Excellent communication and stakeholder management skills. Experience working in a UK banking or financial services environment. Degree in a numerate 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 ❯

and solving real world business problems, ideally building/using advanced analytical models. Willingness to learn advanced statistics (i.e. t-test, regression, factor analysis) and use statistical software (R, SAS, Python, etc.) Applied Research: Experience conducting research in an organization or consulting environment, including executing mixed-methods research (combining qualitative and quantitative methods) Written communication: Experience communicating technical results More ❯

efforts Support the development of a strong data governance and data quality framework within the Risk team What we're looking for Previous data analysis experience within banking Intermediate SAS and SQL Familiarity with financial risk terminology Strong Excel skills (formulas, pivot tables, etc.) Proficient with Power BI Strong communication skills and experience working cross-functionally McGregor Boyall is More ❯

multiple tasks simultaneously under direction and prioritise workload. Ability to work independently in a group setting; ability to adjust to changing priorities. Maintain a professional and positive attitude. Desirable SAS Experience. SQL Experience. Benefits Competitive remuneration package including benchmarked salaries. Staff Annual Bonus Plans and Annual Salary Review. Generous employer pension contribution of 6%. 25 days annual leave 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 ❯

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 ❯

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 ❯

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 ❯

Solid understanding of digital payment systems, online banking platforms, and relevant fraud typologies (e.g., account takeover, APP fraud, card fraud). Familiarity with fraud monitoring tools (e.g., Actimize, Feedzai, SAS, ThreatMetrix) and fraud case management systems. Strong analytical, decision-making, and problem-solving skills. Experience working with cross-functional teams in a fast-paced, tech-driven environment. Excellent communication More ❯

studies. You conduct all other programming activities needed during a clinical study. You have professional experience in programming activities of clinical studies. You have very good programming skills in SAS 9, experience in R would be a benefit. You have gained practical experience with CDISC SDTM and ADaM standards. You have a degree in medical documentation, mathematical biometrics, statistics 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 ❯

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 ❯

class storage infrastructure solutions for all stages of customer and product lifecycles. • You will have the technical depth and business experience to deploy storage and data strategies. • Partner with SAs, Sales, Business Development and Service teams to accelerate customer adoption and revenue attainment. • You will also work closely with account teams, research scientists, and product teams to drive model More ❯

Management industry and supporting technologies and products Experience in delivering a number of complex implementation projects to transition financial assets and static data and implementing support services - within a SAS and/or BPO environment Experience working across one or more Wealth Management platforms Adaptable working style, with a willingness to work across a span of activities during the 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 ❯

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 ❯