1 to 25 of 71 Remote Permanent SAS Jobs

with the ability to effectively collaborate with cross-functional teams. Ability to articulate complex analytical concepts to non-technical stakeholders. Proficiency in one or more programming languages such as SAS, SQL, Python or R It's a bonus if you have but not essential Knowledge of CIFAS rules and procedures in the context of first party fraud. Experience influencing More ❯

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 ❯

to problem solving with excellent attention to detail/accuracy focussed You will also have proven experience of extracting, manipulating and interpreting complex data Experience using Python Proficient/SAS/VBA would be an advantage along with prior experiencein Credit Analytics/Portfolio Analytics (Cards or Loans preferred). Click here to view the full job description JBRP1 More ❯

to problem solving with excellent attention to detail/accuracy focussed You will also have proven experience of extracting, manipulating and interpreting complex data Experience using Python Proficient/SAS/VBA would be an advantage along with prior experiencein Credit Analytics/Portfolio Analytics (Cards or Loans preferred). Click here to view the full job description JBRP1 More ❯

and initiatives to prevent fraud. Demonstratable experience of developing automated fraud controls with disparate data sources. Analytical with intermediate-level proficiency with one or more programming languages such as SAS, SQL, Python or R Experience influencing stakeholders and driving change throughout an organisation. Knowledge and understanding of fraud risk and industry trends to identify risks that may impact our More ❯

please apply as soon as you can. What you’ll be doing Nationwide is undergoing an exciting transformation in how we manage and deliver data. We're transitioning to SAS Viya and embracing the power of our new Lakehouse architecture on Databricks. This is your chance to be part of a forward-thinking team shaping the future of modern … data analytics in financial services You'll be: Designing and leading the development of automated reporting and dashboards using SAS (Viya and Enterprise Guide) and Power BI Translating complex business needs into robust, scalable data-driven solutions Delivering high-quality, insight-driven analytics support both operational and strategic decision-making A subject matter expert on data sources, reporting logic … About you We are looking for an accomplished analyst who possesses the expertise and confidence to take ownership of high-impact projects immediately. Essential Skills & Experience: Proven expertise in SAS (Viya and/or Enterprise Guide) and Power BI Strong SQL skills and experience with ETL processes Proven ability to translate business requirements into technical solutions Deep understanding of More ❯

please apply as soon as you can. What you’ll be doing Nationwide is undergoing an exciting transformation in how we manage and deliver data. We're transitioning to SAS Viya and embracing the power of our new Lakehouse architecture on Databricks. This is your chance to be part of a forward-thinking team shaping the future of modern … data analytics in financial services You'll be: Designing and leading the development of automated reporting and dashboards using SAS (Viya and Enterprise Guide) and Power BI Translating complex business needs into robust, scalable data-driven solutions Delivering high-quality, insight-driven analytics support both operational and strategic decision-making A subject matter expert on data sources, reporting logic … About you We are looking for an accomplished analyst who possesses the expertise and confidence to take ownership of high-impact projects immediately. Essential Skills & Experience: Proven expertise in SAS (Viya and/or Enterprise Guide) and Power BI Strong SQL skills and experience with ETL processes Proven ability to translate business requirements into technical solutions Deep understanding of 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 ❯

and ready to challenge the status quo. You'll have: A degree in a numerate subject (e.g. Mathematics, Statistics, Economics, or similar). Strong hands-on experience with SQL, SAS, Python or equivalent - you can interrogate large datasets with confidence. Advanced Excel skills. Experience with fraud strategy, credit risk, or related analytics (experience with FICO Blaze Advisor or other More ❯

times. Qualifications & Skills Experience in modeling and validation within banking portfolios or related fields. Ability to interpret technical documentation and produce accessible reports. Proficiency in statistical programming languages (e.g., SAS, R, Python, Matlab, Excel). Strong analytical skills, attention to detail, and a control-oriented mindset. Excellent communication and presentation skills. Knowledge of regulatory compliance requirements. Good interpersonal skills … proactive, and self-motivated. Desirable Industry certifications such as FRM, CFA, or SAS are a plus but not essential. We are committed to accessibility and supporting applicants with disabilities or long-term conditions. Please contact us at for alternative formats or to discuss accommodations. About Us Close Brothers is a leading UK merchant banking group offering lending, deposits, and More ❯

data to draw insights by using various tools (Excel, Qlikview, Tableau, etc.) to analyse complex datasets, draw conclusions, and present insights/findings/solutions Knowledge of SQL/SAS/databases (automation, report generation, root cause analysis, writing complex queries) is advantageous but not essential Why Work for AIB: We are committed to offering our colleagues choice and More ❯

data to draw insights by using various tools (Excel, Qlikview, Tableau, etc.) to analyse complex datasets, draw conclusions, and present insights/findings/solutions Knowledge of SQL/SAS/databases (automation, report generation, root cause analysis, writing complex queries) is advantageous but not essential Why Work for AIB: We are committed to offering our colleagues choice and More ❯

e.g. TSYS, PowerCurve) gained from implementing models in such systems or using them to monitor models and report on outputs Advanced knowledge of at least one programming language, e.g. SAS, R, Python, SQL Experience in independently validating/reviewing or building models Experience of leading a project-based team in a fast-paced environment, including effective resource management, positive More ❯

commercial research, or applied social research settings. Strong proficiency in R (required) and working knowledge of Python (preferred). Familiarity with legacy statistical software such as SPSS, Stata, or SAS is welcome. Proven ability to: Apply inferential statistics and econometric techniques Conduct regression modelling and data wrangling Apply machine learning methods (e.g. clustering, decision trees) Work with structured datasets More ❯

of the skills below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression More ❯

complex technology implementations. Familiarity with Electronic Data Capture (EDC) systems (e.g., Veeva, Medidata). Knowledge of data visualization tools (e.g., Tableau, Power BI). Knowledge in statistical software (e.g., SAS, R) for data analysis. Knowledge, and ideally experience, of working with risk-based approaches (e.g. delivering studies using reduced SDV etc) Please note PE Global cannot assist with visa More ❯

e.g. TSYS, PowerCurve) gained from implementing models in such systems or using them to monitor models and report on outputs Advanced knowledge of at least one programming language, e.g. SAS, R, Python, SQL Experience in independently validating/reviewing or building models Experience of leading a project-based team in a fast-paced environment, including effective resource management, positive More ❯

data warehouse team is managed appropriately, scheduled jobs run without error and are delivered within SLA. This is a hands-on role which will primarily support the business with SAS, being used as the primary tool for analytics, data mining, data warehousing and production of MI/BI. Nice to have skills for the Data Warehouse Manager role: At … least 3 years of experience in a data-related role Experience managing a technical team SAS SQL Oracle Understanding of ETL Python Linux OS Good communication skills In return, the Data Warehouse Manager can expected a salary up to £60,000 DOE + benefits. The role will be based in the Chester offices, but will be on a hybrid 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯