26 to 50 of 91 SAS Jobs in London

and system tuning from inception to completion Hands-on understanding on minimum of one TM systems, rule designs, segment designs, technical design and processes (e.g NICE Actimize, Oracle Mantas, SAS, FiServ) Good Excel, SQL and Data Analysis on high volume of transaction data Personal skills/values Confidence to credibility with clients from project inception Self-motivation individual willing More ❯

model review practices Validating wider risk models covering AI, machine learning, reporting, and operational risk models Working with senior leadership to present findings of validation exercises. Using tools like SAS, SQL, R and Python daily. Your skills and experience To be successful as a Model Validation Manager , you will need: Strong experience with SQL and python Strong experience with 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 ❯

both technical and non-technical audiences, including senior leadership. YOUR SKILLS AND EXPERIENCE Experience with IFRS9 or IRB models Experience developing or validating regulatory models Proficiency in Python, with SAS and R being desirable. Numerate degree from a Russel Group university. Excellent written and verbal communication skills. THE BENEFITS Up to £60,000. Generous equity/shares within the More ❯

data science experience Machine learning SQL Msc or PhD preferred in either of the following areas, statistics, physics, mathematics, Computer Science or Engineering Creating customer segmentation models knowledge of SAS Data Mining R/Python Proficient user MS Office This is a superb career opportunity in the Data Science space .This Company invest a tremendous amount of time and More ❯

extraction using SQL - Knowledge of SQL and Excel at a moderate or advanced level - 1+ years of data analytics or automation experience - Experience with data mining tools like SQL, SAS, SPSS, or similar PREFERRED QUALIFICATIONS - Bachelor's degree in a quantitative discipline such as statistics, mathematics, economics, computer science, or any related quantitative field Our inclusive culture empowers Amazonians More ❯

Git, GitHub, GitLab, and CI/CD tools such as Docker, Podman, Jenkins, is also required. Skills in optimization tools like IBM CPLEX and Gurobi, statistical analysis with SPSS, SAS, R, and Python, as well as experience in machine learning, statistical modeling, and developing custom models for applications like supply chain management, pricing, risk assessment, and fraud detection are More ❯

to prepare and deliver high-impact presentations and reports to senior leadership across diverse cultures. Data-Driven Mindset: Comfortable with Excel, Microsoft Office, and business intelligence tools (e.g., Tableau, SAS, Cognos). Skilled at interpreting data to inform strategy. Educational Background: A degree in Business, Hospitality, Finance, or a related discipline is a strong asset. Travel: Willing to travel More ❯

analytics & personalisation/testing tools (e.g. Google Analytics, Adobe Analytics & Target, Optimizely) Social analytics tools (e.g. Sysomos, Radian 6) Data visualisation tools (e.g. Qlikview, Tableau) Data analysis tools (e.g. SAS, SQL, SPSS, Faststats) Campaign Management tools (e.g. Adobe Campaign) We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've More ❯

value propositions and business models to remain vibrant and valuable. Advanced knowledge in quantitative models and Object-Oriented Programming in Python or other modern programming language (i.e., Java, C#, SAS, R). Proficiency in business modelling and formulation of comprehensive business cases is advantageous. Connect to your business - Technology and Transformation Distinctive thinking, deep expertise, innovation and collaborative working. More ❯

costs of proposed solutions, and make technical trade-offs. You contribute to operational excellence and perform troubleshooting to resolve defects. Drive Company Wide Campaigns and keep the Compliance risks (SAS, Shepherd etc.) for ASCS systems under control. A day in the life Big Picture: Solve problems at their root, stepping back to understand the broader context Proactive: You display 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 ❯

and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. More ❯

is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Key job responsibilities Key job responsibilities - Strategic account SAs build long-term customer relationships, getting to know the details of each customer's environment and business. They offer strong technical guidance and proactively seek to improve the architectural More ❯

Data Scientist Experience Required : - Strong Statistics/Maths/Econometrics Background - RDBMS/SQL experience - Strong Msc or PhD Background Any experience in the following is Nice to have : - SAS, SPSS, R Apply now for the Chief Data Scientist role 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 ❯

scientists with exceptional data analysis and problem-solving skills, capable of discerning hidden patterns and signals within financial markets. Company: Recruitment agency Qualifications: Commercial data science experience Proficiency in SAS Master's or PhD preferred in statistics, physics, mathematics, Computer Science, or Engineering Experience creating customer segmentation models Data Mining expertise Proficient in MS Office This is a fantastic 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 ❯

to design and implement tailored solutions that address complex client challenges and evolving business needs. Data Reporting & Systems Integration Develop and deliver insightful reports using tools such as SQL, SAS, SSRS, SSIS, and VBA. Ensure seamless integration of data across both legacy and new systems to support informed decision-making. Strong academic background, preferably in a STEM-related discipline. 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 ❯

Forensics, EDRM); Big Data and Data Analytics- (MI/BI/CI);InfoSec and Cyber Crime; Audit; Accountancy and Finance; FinTech (Payments etc.);Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.);Compliance/Corporate Governance ;IT- (full SDLC- BA's PM's , Architects, Developers etc.); Brimstone Consulting acts as an employment agency (permanent) and as an employment business More ❯

stakeholders expectations. BASIC QUALIFICATIONS - 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Experience applying theoretical models in an More ❯