76 to 100 of 500 SAS Jobs

Experience developing and maintaining strong working relationships. Demonstrate a ‘Can Do’ attitude with a desire to thrive in a dynamic and fast paced environment. Some knowledge of SQL/SAS is preferred but not essential. Sound experience and understanding of established procedures or systems. Evidence of problem solving, investigative and analytical skills. Evidence of learning technical skills. Insurance or More ❯

acquisitions Implementation of scorecard models for the business Overseeing the model development and implementation across the banks portfolios Analysis of portfolio trends for actional insights for senior stakeholders Using SAS and Python daily in this role. Your skills and experience For you to be successful as a Senior Credit Portfolio Analyst, you will need: Strong experience working as a … credit risk analyst for another bank/fintech Experience developing credit risk strategies for lending products. Experience using SAS and ideally python Experience developing or working on scorecard models Strong communication and teamwork skills. Mathematical degree Benefits Up to £70,000 + competitive benefits package #J-18808-Ljbffr More ❯

college or university Eight (8) years of relevant experience analyzing datasets and developing analytics Five (5) years of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB Master's degree in relevant discipline may be substituted for two (2) years of relevant experience reducing the requirement to six (6) years of relevant experience analyzing … datasets and developing analytics, and three (3) years of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB. A PhD in relevant discipline may be substituted for four (4) years relevant experience reducing the requirement to four (4) years of relevant experience analyzing datasets and developing analytics, and one (1) year of experience programming … with data analysis software such as R, Python, SAS, or MATLAB. In lieu of a bachelor's degree, an additional four (4) years of relevant experience may be substituted for a total of twelve (12) years of relevant experience analyzing datasets and developing analytics, and nine (9) years of experience programming with data analysis software such as R, Python More ❯

college or university, and four (4) years of experience analyzing datasets and developing analytics and two (2) year of experience programming with data analysis software such as R, Python, SAS, or MATLAB. A Master's degree in relevant discipline may be substituted for two (2) years of relevant experience analyzing datasets and developing analytics, and one (1) year of … relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB. In lieu of a Bachelor's Degree, an additional four (4) years of relevant experience may be substituted for a total of eight (8) years of relevant experience analyzing datasets and developing analytics, and two (2) years of experience programming with data analysis software such … as R, Python, SAS, or MATLAB. Data Scientist 2 - Requires a Bachelor's degree in a relevant discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) from an accredited college or university, eight (8) years of relevant experience analyzing datasets and developing analytics, and five (5) years of relevant experience programming with data analysis software such as R More ❯

understanding of data warehousing and ETL principles. At least 3-5 years of proven experience in data warehousing and/or data-related development roles. Experience/knowledge of SAS software on a SAS 9.4 platform architecture. Experience/knowledge of Oracle database solutions and other database platforms (e.g., SQL Server). Experience with Python Ability to interact … you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Python, ETL, SAS, SQL Server, Linux OS, Windows More ❯

design, develop, and deliver client solutions. applies proficiency in statistical theory, data analysis and interpretation, regression analysis, and various statistical software tools (such as WinBugs, R, Stata, Python, and SAS) to drive project success. This role requires a Master's or Doctoral Degree in Health Economics, Health Policy, Statistics, Biostatistics, Mathematics, or other related quantitative fields. Knowledge And Experience … especially in the relaying of technical information and what is essential and strategic to the client Self-motivation, enthusiasm, ambition, and flexibility Competent in written and spoken English Software: SAS (Base, Stat, Graph, Macro), R, SPSS, STATA, and WinBUGS; Python is a plus Education Master's degree or equivalent in either life science or a quantitative discipline, such as More ❯

industry or government clients on a variety of practice-relevant issues; Program, build models and/or perform regression analyses in statistical analysis programs (such as Stata, Python, R, SAS, Matlab, and Mathematica), including large data projects requiring use of cloud computing; Ensure the integrity and accuracy of analyses and opinions; and Contribute to practice-building activities (training, recruiting … focus on Applied Microeconomics or Applied Microeconometrics, with specializations like industrial organization, labor, health, behavioural and public economics, or other quantitative areas; Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS); Demonstrated understanding of, and ability to explain, economic, financial and/or accounting concepts, and quantitative More ❯

data required for ad-hoc and regular reporting as well as dashboards needed for programme delivery and/or portfolio-level decision making Handles large volumes of data using SAS, SQL Server and Business Objects To communicate, present and influence at all levels To create and update procedure guides to evidence how tools and reports function Promotes sound governance … Previous experience in a complex role producing MI Master of the art of data visualisation Advanced Microsoft Excel for data manipulation (Index, Match, VBA, complex formulas Demonstrable experience in SAS, SQL Server and Business Objects Advanced knowledge database interrogation & programming skills (relational database, advance select queries, indexes, and constraints) Solid understanding of data security and compliance standards to protect 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 ❯

statistical models and tools using techniques such as regression analysis, time series and survival analyses, and Monte Carlo simulation. Code and review tools in modern computing languages (e.g., R, SAS, or Python). Establish policies and processes for the Quants team to act as an auditor's expert. Lead and oversee quantitative testing performed for audit engagement teams in … an equivalent function in a corporate, especially in a banking or lending enterprise Strong record of model development work and significant coding expertise in relevant computing languages (eg R, SAS or Python). Strong appreciation of applicable principles of best practice. Expert level IT literacy with MS Office products, especially MS Excel Be accountable, professional and take responsibility. Be More ❯

statistical models and tools using techniques such as regression analysis, time series and survival analyses, and Monte Carlo simulation. Code and review tools in modern computing languages (e.g., R, SAS, or Python). Establish policies and processes for the Quants team to act as an auditor’s expert. Lead and oversee quantitative testing performed for audit engagement teams in … an equivalent function in a corporate, especially in a banking or lending enterprise. Strong record of model development work and significant coding expertise in relevant computing languages (e.g., R, SAS or Python). Strong appreciation of applicable principles of best practice. Expert level IT literacy with MS Office products, especially MS Excel. Be accountable, professional and take responsibility. Be More ❯

statistical models and tools using techniques such as regression analysis, time series and survival analyses, and Monte Carlo simulation. Code and review tools in modern computing languages (e.g., R, SAS, or Python). Establish policies and processes for the Quants team to act as an auditor’s expert. Lead and oversee quantitative testing performed for audit engagement teams in … an equivalent function in a corporate, especially in a banking or lending enterprise Strong record of model development work and significant coding expertise in relevant computing languages (eg R, SAS or Python). Strong appreciation of applicable principles of best practice. Expert level IT literacy with MS Office products, especially MS Excel Be accountable, professional and take responsibility. Be More ❯

underwriting and technical modelling teams. ✔️ Personal Lines Pricing experience (Motor, Home or Pet) ✔️ Strong skills in predictive modelling – e.g., GLMs, GBMs, GAMs, Random Forests ✔️ Proficiency in R, Python, PySpark, SAS or SQL ✔️ Experience with Radar and/or Emblem ✔️ A numerate degree (e.g., Maths, Stats, Actuarial, Engineering) ✔️ Strong communication and stakeholder management skills They’re a collaborative, data-driven More ❯

underwriting and technical modelling teams. ✔️ Personal Lines Pricing experience (Motor, Home or Pet) ✔️ Strong skills in predictive modelling – e.g., GLMs, GBMs, GAMs, Random Forests ✔️ Proficiency in R, Python, PySpark, SAS or SQL ✔️ Experience with Radar and/or Emblem ✔️ A numerate degree (e.g., Maths, Stats, Actuarial, Engineering) ✔️ Strong communication and stakeholder management skills They’re a collaborative, data-driven More ❯

data analysis You are passionate about data and you bring out concrete analysis to help the business You are used to work with different data tools such as SQL, SAS, Python, R, Tableau, QlikView, PowerBI, You have an analytical mind and inclination for problem-solving You pay attention to details You are fluent in French and English ; good knowledge More ❯

audience, cost saving, selection economics and several others. BASIC QUALIFICATIONS 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. 5+ years of data scientist experience. Experience with statistical models e.g. multinomial logistic regression. PREFERRED QUALIFICATIONS Experience working with data engineers and business intelligence engineers collaboratively. More ❯

Bachelor's degree - Knowledge of data pipelining and extraction using SQL - Knowledge of SQL and Excel at a moderate or advanced level - Experience with data mining tools like SQL, SAS, SPSS, or similar PREFERRED QUALIFICATIONS - Knowledge of SQL Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a More ❯

of experience in a pricing or data analysis role, preferably within the insurance industry Experience in building technical risk models is desirable Proficient in data analysis tools such as SAS, SQL, Python, R etc... Proficient in pricing software (e.g. Earnix, Akur8, Emblem, Radar etc...) and rating engines is a strong advantage Understanding of statistical modelling techniques Strong analytical mindset More ❯

science, data science, statistics, or a related field. 7+ years of experience in analytics and data reporting Experience with statistical techniques and predictive modelling using tools such as SPSS, SAS or Python Expertise in creating insightful dashboards and reports, supported by visual storytelling for executive team members How We Support You: We provide flexibility to help you achieve a More ❯

science, data science, statistics, or a related field. 7+ years of experience in analytics and data reporting Experience with statistical techniques and predictive modelling using tools such as SPSS, SAS or Python Expertise in creating insightful dashboards and reports, supported by visual storytelling for executive team members How We Support You: We provide flexibility to help you achieve a More ❯

business trade-offs and zoom in on modelling accuracy. • Strong communication and storytelling skills – able to influence decisions and simplify complexity. • Proficiency in Excel, SQL, Power BI/Tableau (SAS or similar a bonus). • Comfort working across Finance, Risk, Commercial and Data teams. Join our team and we’ll be with you every step of the way, helping 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 ❯

into the world of LACO, because we're not just your average Belgian-based business intelligence and data analytics company. We're the superheroes of many realms including Microsoft, SAS and Data Advisory , which earned us the rank of Microsoft Data & AI Solutions Partner. With a squad of over 120 consultants, we're on a mission to unravel the 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 ❯

MS office. - Experience working on root cause analysis, corrective and preventive actions for solving customer problems and prevention of defects. PREFERRED QUALIFICATIONS - Knowledge of analytics & statistical tools such as SAS, PowerBI, SQL & ETL DW concepts - Knowledge of visualization tools such as Tableau, Datazen, SSRS - Experience back office operations, escalation management and troubleshooting environments - Experience working in e-commerce/ More ❯