126 to 150 of 785 SAS Jobs

analytical skills in a relevant role Strong problem solving skills with the confidence to recommend solutions to various stakeholders Recent, hands on experience with some of the following technologies: SAS, SQL, python, PowerBI, Power Apps, VBA Our customer first behaviours put customers and members at the heart of how we work together. They are the set of behaviours that More ❯

the Role is Right For You? Minimum Requirements: Bachelor's degree in a quantitative field with 7+ years work experience in data analytics using statistical packages (e.g., R, Python, SAS, Stata, MATLAB, SQL). OR a Master’s degree in a quantitative field with 5+ years data analytics work experience using statistical packages. OR a PhD in a quantitative More ❯

occupation in which the required experience was gained. Position also requires two years of experience in each of the following: Perform longitudinal and cross-sectional analysis using Python, SQL, SAS, and R. Develop advanced marketing analytics models, including multi-channel attribution model. Utilize Databricks to perform data analysis and manage data workflows. Apply statistical techniques including regression analysis, hypothesis More ❯

Job Description: Job Title: Model Risk & Model Analytics Professional Corporate Title: Up to Vice President Location: Bromley Company Overview: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of More ❯

JOB TITLE: Data Engineer (SAS) Salary: £47,790 - £55,000 LOCATION: Halifax HOURS: Full time WORKING PATTERN: Hybrid, 40% (or two days) in our Halifax office. About this opportunity Exciting opportunity for a Data Engineer to join the Consumer Risk Data Labs to focus on assisting in the design, development, and maintenance of the Le Mans analytical SAS … our 26 million customers. We're growing with purpose. Join us on our journey and you will too What you'll do... Supports the management and operations of the SAS Data Warehouse (Le Mans) which supports 1100+ colleagues across Risk. Collaborates across technology and business teams to deliver the required level of service and data capabilities. Delivers support and … resolves issues on the production scheduled batch on Le Mans. This requires experience of SAS DI Studio. Supports oversight, process execution and customer engagement for compliance and governance (ITEC, UAM, Cyber, SOX, Deloitte, Audit, etc). This requires experience of SAS Management Console. Work closely with customers to understand requirements and specifications, collaborate with team to identify and More ❯

United Kingdom 22 hours ago Belfast, Northern Ireland, United Kingdom 1 year ago Belfast, Northern Ireland, United Kingdom 2 weeks ago Customer Reliability Engineer (H/F) - AIRBUS OPERATIONS SAS Belfast, Northern Ireland, United Kingdom 3 days ago Newtownabbey, Northern Ireland, United Kingdom 4 days ago Belfast, Northern Ireland, United Kingdom 4 months ago Lisburn, Northern Ireland, United Kingdom More ❯

and use cases Requirements BSc in Maths, Statistics or Econometrics, or level 4 Data Analyst Apprenticeship. Data manipulation skills in R (or Python) Timeseries econometric regressions experience (Eviews/SAS/R/etc.) Advanced MS Excel Skills (VLOOKUP's, etc.) Strong number orientation through abilities in maths, accounting, statistics . Good communication skills Good story telling with data 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 ❯

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 ❯

at the British Insurance Awards 2024, and our Glassdoor score is impressive! Are you a dynamic professional with exceptional stakeholder management skills? Do you have hands-on experience with SAS, SQL, or similar programs? Are you well-versed in actuarial methodologies, particularly claims reserving? If so, we want you to join our team! We're looking for a Claims … within the Performance Function and supporting their career development. Core skills we're looking for: Strong stakeholder management and the ability to present information to Exec level Experience using SAS, SQL, or similar programs Knowledge of actuarial methodologies, specifically claims reserving What's involved: Delivering regular reports to business leaders on claims indemnity performance to support monthly and quarterly … executive reporting Analyzing performance trends, inconsistencies, and opportunities in line with executive priorities Building and maintaining data models (typically using SAS), utilising various data sources to develop insights into claims performance across the balanced scorecard Presenting and visualising analysis clearly to add value, with insightful commentary and clear actions or recommendations Collaborating with operational teams to make recommendations for More ❯

at the British Insurance Awards 2024, and our Glassdoor score is impressive! Are you a dynamic professional with exceptional stakeholder management skills? Do you have hands-on experience with SAS, SQL, or similar programs? Are you well-versed in actuarial methodologies, particularly claims reserving? If so, we want you to join our team! We're looking for a Claims … within the Performance Function and supporting their career development. Core skills we're looking for: Strong stakeholder management and the ability to present information to Exec level Experience using SAS, SQL, or similar programs Knowledge of actuarial methodologies, specifically claims reserving What's involved: Delivering regular reports to business leaders on claims indemnity performance to support monthly and quarterly … executive reporting Analyzing performance trends, inconsistencies, and opportunities in line with executive priorities Building and maintaining data models (typically using SAS), utilising various data sources to develop insights into claims performance across the balanced scorecard Presenting and visualising analysis clearly to add value, with insightful commentary and clear actions or recommendations Collaborating with operational teams to make recommendations for More ❯

of data quality Will be involved in all the topics related to Customer Data Business Analysis Work in collaboration with other technical teams to share data Data extraction with SAS Industrialize the process to run define periodicity Document the project (functional and technical part) Contribute to the achievement of the team objectives Qualifications Bachelor's or Master's degree … years of experience in Data Analysis (focus data quality & data governance) Understand data lifecycle and data usage Working in Agile environnement (Jira & Scrum) Good experience working with SQL Queries & SAS English Fluent & French or Dutch native More ❯

and analytics operations. DATA WAREHOUSING MANAGER – ESSENTIAL SKILLS Strong understanding of data warehousing and ETL principles 3-5 years of experience in data warehousing or related roles Knowledge of SAS software on SAS 9.4 platform Experience with Oracle and SQL Server databases Proficiency in Python Intermediate skills in Windows and Linux OS, including batch/shell scripting Understanding More ❯

ensuring smooth data and analytics operations. ESSENTIAL SKILLS: Strong understanding of data warehousing and ETL principles 3-5 years of experience in data warehousing or related roles Knowledge of SAS software (SAS 9.4 platform) Experience with Oracle and SQL Server databases Proficiency with Python Intermediate skills in Windows and Linux OS, including batch/shell scripting Knowledge of More ❯

the suite of climate stress testing models across Retail and Business portfolios, and across IRB and IFRS 9 modelling environments Supporting technical leads to independently implement changes to the SAS based Stress Testing Engines and associated analytical tools Focusing on continuous improvement through addressing of the Open Model validation actions and by identification of model performance issues, addressing oversight … by embedding learnings and evolving business and regulatory requirements Ensuring effective design and implementation of the Climate Stress testing monitoring of the stress testing models Continually assess and identify SAS processes/code to promote simplification and automation, reducing any operational risk inherent in the current environment Close collaboration with credit risk modelling, finance and business teams for obtaining … and stress testing frameworks across a range of Retail/Business credit portfolios with a good understanding of model usage Strong model development experience in stress testing, ideally using SAS and R Effective Climate Risk Modelling skills across physical risk and transition risk A strong understanding of climate-related regulations and reporting standards (e.g. TCFD, ESG reporting) Excellent analytical 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 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 More ❯

and stakeholders Helping shape model governance throughout the model lifecycle 🛠 What we're looking for: 2–3 years’ experience in model validation or development Proficiency in Python, R, SQL, SAS or similar tools Strong communication skills and analytical mindset Bonus: Familiarity with regulatory frameworks (EBA, CRR, PRA More ❯

and stakeholders Helping shape model governance throughout the model lifecycle 🛠 What we're looking for: 2–3 years’ experience in model validation or development Proficiency in Python, R, SQL, SAS or similar tools Strong communication skills and analytical mindset Bonus: Familiarity with regulatory frameworks (EBA, CRR, PRA More ❯

are seeking a Mid-Level Information Analyst with a confirmed foundation in KYC and CDD Information Governance. The ideal candidate will possess technical expertise in SQL, Python, Snowflakes, and SAS, leading and analyzing information through diverse techniques. This role requires collaboration with business owners and technical teams to ensure compliance with USAA policies and relevant regulations. Responsibilities include metadata … levels of management. What sets you apart: Two or more years of Know Your Customer and Customer Due Diligence experience in Information Technology Technical background working with; SQL, Python, SAS, Snowflakes Strong writing and interpersonal skills tailored specifically to the Information Management space, with the ability to articulate intricate data concepts clearly Excels in leading task autonomously, demonstrating an More ❯

are seeking a Mid-Level Information Analyst with a confirmed foundation in KYC and CDD Information Governance. The ideal candidate will possess technical expertise in SQL, Python, Snowflakes, and SAS, leading and analyzing information through diverse techniques. This role requires collaboration with business owners and technical teams to ensure compliance with USAA policies and relevant regulations. Responsibilities include metadata … levels of management. What sets you apart: Two or more years of Know Your Customer and Customer Due Diligence experience in Information Technology Technical background working with; SQL, Python, SAS, Snowflakes Strong writing and interpersonal skills tailored specifically to the Information Management space, with the ability to articulate intricate data concepts clearly Excels in leading task autonomously, demonstrating an More ❯

IFRS 9 and operational credit risk models. Prior experience leading projects or managing small teams is a plus. Strong programming and analytical skills using tools like Python, R, SQL, SAS, and Excel. A degree (or equivalent experience) in a numerical discipline. Solid knowledge of regulatory frameworks related to credit risk. Clear communicator with the ability to explain complex technical More ❯

IFRS 9 and operational credit risk models. Prior experience leading projects or managing small teams is a plus. Strong programming and analytical skills using tools like Python, R, SQL, SAS, and Excel. A degree (or equivalent experience) in a numerical discipline. Solid knowledge of regulatory frameworks related to credit risk. Clear communicator with the ability to explain complex technical More ❯