6 Sas Va Jobs

Management Level: Ind & Func AI Decision Science Senior Manager Location: Gurgaon,Bangalore Must-have skills: Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, Time Series (ARMA/ARIMA), Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, PowerBI, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions Good to have skills: Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms Job Summary We are seeking a highly skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. You will be responsible for risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role offers opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. Roles & Responsibilities: Engagement Execution Lead client engagements that may involve model development, validation, governance, risk strategy, transformation, implementation, and end-to-end delivery of risk management solutions for Accentures clients. Advise clients on a wide range of Credit, Market, and Operational Risk and Management/Analytics initiatives. Projects may involve Risk Management advisory work for CROs, CFOs, etc., to achieve a variety of business, operational, and regulatory outcomes. Be a trusted advisor to senior executives and management on their business needs and issues. Develop and frame a Proof of Concept for key clients, where applicable, including scoping, staffing, engagement setup, and execution. Practice Enablement Mentor, groom, and counsel analysts, consultants, and managers to be successful and effective Management Consultants. Support development of the Risk Analytics Practice by driving initiatives around staffing, quality management, recruitment, capability development, knowledge management, etc. Develop thought capital and disseminate information around current and emerging trends in Financial Risk Management. Contribute to development of Accenture Points-of-View on a variety of risk analytics topics. Publish research and present ideas at industry conferences and seminars. Opportunity Development Identify business development opportunities for our Risk Management offerings in the Banking and Capital Market domains. Develop compelling business case/response to new business opportunities. Work with deal teams to provide subject matter expertise on credit, market, and operational risk-related topics and participate in development of client proposals and RFP responses. Client Relationship Development Develop trusted relationships with internal and external clients and have an eye for qualifying potential opportunities and negotiating complex deals. Build strong relationships with global Accenture Analytics and Risk Management teams, and further develop existing relationships based on mutual benefit and synergies. Professional & Technical Skills: 11-15 years of relevant Risk Analytics experience at one or more Financial Services firms or Professional Services/Risk Advisory with significant exposure to Credit Risk: Risk Ratings, Credit Risk Methodology, PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting, IFRS9/CECL Loss Forecasting across Retail and Commercial portfolios. Market Risk: Stress Testing, Liquidity Risk, Counterparty Credit Risk, PPNR/Revenue/Loss Forecasting, Pricing. Operational Risk: Fraud Risk, Collections and Recovery, Credit Policy and Limit Management, Fraud Risk, Counterparty Credit Risk. Regulatory Knowledge: Basel II/III, Solvency, FRTB, CCAR, IFRS9/CECL, etc. Strong understanding of banking products across retail and wholesale asset classes, and expertise in frameworks and methodologies used in risk analytics for banking portfolios. Expertise in risk strategy design and supporting analytics for banking portfolios. Modeling Techniques: Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time Series (ARMA/ARIMA), ML Interpretability and Bias Algorithms. Programming Languages & Tools: SAS, R, Python, Spark, Scala, Tableau, QlikView, PowerBI, SAS VA, Moodys Risk Calc, Bloomberg, Murex, QRM. Additional Information: Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities. Industry Certifications:FRM, PRM, CFA preferred. Excellent Communication and Interpersonal Skills. Willingness to travel up to 40% of the time. Qualification Experience: Minimum 11-15 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory Educational Qualification: Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities, Industry certifications such as FRM, PRM, CFA preferred

We are hiring for one of our client an IT company based from Ahmedabad,Gujarat Job Title :- SAS Developer Experience: 2 to 5 years Location:- PAN INDIA (willing to relocate) Required Candidate profile SAS Base, Macros, SQL, DI, VA, Viya RDBMS: Oracle, SQL Server, Teradata Data validation, analytics, reporting Banking data models & regulatory reporting SAS Enterprise Guide, AML/KYC

Job Summary: We are looking for a skilled SAS Visual Analytics (VA) Developer to join our team. In this role, you will be responsible for creating interactive dashboards, developing reports, and leveraging SAS Visual Analytics to provide valuable data visualization and insights. You will work closely with stakeholders to deliver user-friendly reports and dashboards that support data-driven decision-making. Key Responsibilities: Report & Dashboard Development: Design and develop dynamic SAS VA reports and dashboards to meet business requirements. Data Visualization: Create interactive data visualizations that allow users to explore insights easily. SAS Programming: Use SAS programming for data manipulation, analysis, and customization of reporting solutions. Collaboration: Work closely with business analysts and other teams to ensure the reports and dashboards meet organizational needs. Performance Optimization: Ensure reports and dashboards are optimized for performance, ensuring scalability and user-friendliness. User Support & Training: Provide ongoing training and support to end-users for effective report usage. Qualifications: Strong experience in SAS Visual Analytics for report and dashboard development. Proficient in SAS programming for data transformation and custom report creation. Expertise in data visualization techniques and best practices. Excellent communication and collaboration skills.

Job Summary We are seeking a skilled SAS Developer to join our team. The ideal candidate will have extensive experience in Base SAS, SAS Data Integration (DI), Extract, Transform, Load (ETL) processes, SAS Visual Analytics (VA), SAS Administration, and SQL. This role involves developing, implementing, and maintaining data integration solutions, performing ETL processes, creating insightful visual analytics, managing the SAS environment, and ensuring seamless data operations. Key Responsibilities Develop and maintain programs using Base SAS for data manipulation, analysis, and reporting. Optimize SAS code for performance and efficiency. Debug and troubleshoot SAS programs to resolve issues. Develop and maintain data integration processes using SAS DI Studio. Design, implement, and optimize ETL processes to ensure efficient data flow and transformation. Perform data extraction from various sources, transformation to meet business requirements, and loading into target databases. Ensure data integrity and quality throughout the ETL process. Develop and maintain interactive reports and dashboards using SAS Visual Analytics. Collaborate with business users to gather requirements and translate them into effective visualizations. Optimize reports and dashboards for performance and usability. Provide training and support to end-users on SAS VA. Manage the SAS environment, including installation, configuration, and maintenance of SAS servers and applications. Monitor system performance, troubleshoot issues, and implement solutions to ensure high availability and performance. Perform regular backups, updates, and patches for SAS software. Manage user access, roles, and permissions within the SAS environment. Ensure compliance with data security policies and best practices. Write efficient SQL queries for data retrieval, manipulation, and analysis. Integrate SQL queries within SAS programs and ETL processes. Optimize SQL queries for performance and resource utilization. Collaborate with cross-functional teams to understand business requirements and develop data solutions. Provide technical support and troubleshooting for SAS-related issues. Document processes, standards, and best practices for SAS development and administration. Stay updated with the latest SAS tools, technologies, and industry trends. Qualifications BE, BTECH, MCA, MSC - STATS Minimum 6 to 8 years of experience as a SAS Developer or similar role. Proven experience with Base SAS, SAS Data Integration Studio, SAS Visual Analytics, SAS Administration, and SQL. Strong experience in designing and implementing ETL processes. Experience in working with large datasets and data warehouses. Proficiency in Base SAS programming and scripting. Knowledge of relational databases and strong SQL skills. Familiarity with data warehousing concepts and tools. Understanding of data visualization principles and best practices. Knowledge of SAS platform architecture and administration.

Job Summary We are seeking a skilled SAS Developer to join our team. The ideal candidate will have extensive experience in Base SAS, SAS Data Integration (DI), Extract, Transform, Load (ETL) processes, SAS Visual Analytics (VA), SAS Administration, and SQL. This role involves developing, implementing, and maintaining data integration solutions, performing ETL processes, creating insightful visual analytics, managing the SAS environment, and ensuring seamless data operations. Key Responsibilities Develop and maintain programs using Base SAS for data manipulation, analysis, and reporting. Optimize SAS code for performance and efficiency. Debug and troubleshoot SAS programs to resolve issues. Develop and maintain data integration processes using SAS DI Studio. Design, implement, and optimize ETL processes to ensure efficient data flow and transformation. Perform data extraction from various sources, transformation to meet business requirements, and loading into target databases. Ensure data integrity and quality throughout the ETL process. Develop and maintain interactive reports and dashboards using SAS Visual Analytics. Collaborate with business users to gather requirements and translate them into effective visualizations. Optimize reports and dashboards for performance and usability. Provide training and support to end-users on SAS VA. Manage the SAS environment, including installation, configuration, and maintenance of SAS servers and applications. Monitor system performance, troubleshoot issues, and implement solutions to ensure high availability and performance. Perform regular backups, updates, and patches for SAS software. Manage user access, roles, and permissions within the SAS environment. Ensure compliance with data security policies and best practices. Write efficient SQL queries for data retrieval, manipulation, and analysis. Integrate SQL queries within SAS programs and ETL processes. Optimize SQL queries for performance and resource utilization. Collaborate with cross-functional teams to understand business requirements and develop data solutions. Provide technical support and troubleshooting for SAS-related issues. Document processes, standards, and best practices for SAS development and administration. Stay updated with the latest SAS tools, technologies, and industry trends. Qualifications BE, BTECH, MCA, MSC - STATS Minimum 6 to 8 years of experience as a SAS Developer or similar role. Proven experience with Base SAS, SAS Data Integration Studio, SAS Visual Analytics, SAS Administration, and SQL. Strong experience in designing and implementing ETL processes. Experience in working with large datasets and data warehouses. Proficiency in Base SAS programming and scripting. Knowledge of relational databases and strong SQL skills. Familiarity with data warehousing concepts and tools. Understanding of data visualization principles and best practices. Knowledge of SAS platform architecture and administration.

ERGO Technologies and Services IndiaERGO Technology & Services India (ET&S India) is the newest part of the ERGO Technology & Services Management the main outsourcing provider of IT for ERGO worldwide. It is backed up by ERGO an 18 Billion Euro Organization with a presence in 15+ countries have a charter to provide technology services to the ERGO countries in multiple countries. ET&S India will be fueling the Digital aspirations of ERGO world in years to come. With ambitious plan to build a large offshore development centers in multiple cities of the country ETS India shall be at the forefront in developing capabilities and providing career opportunities to employees in diverse technologies across domains of Insurance. Role Description: The Developer will be responsible for developing new system functionality, providing system maintenance & enhancements in SAS projects to ensure that the initiatives and internal customers are provided full lifecycle support, from implementation through on-going support. This person will be responsible for coding, unit testing, bug-fixes a day-to-day basis. Creation of functional and/or technical concepts Development or modification of SAS databases Changes to interfaces Technical review of requirements Documentation of operational knowledge Design, development and maintenance of SAS databases to meet support and/or project requirements. Liaising with business and IT teams to understand business requirements and translate them into formal technical requirements and application code. Collaborate with IT support teams (I&O, SAS) to ensure that support and project requirements are developed and successfully implemented Develop and execute unit tests and integration plans/scripts to verify that application changes meet technical specifications Responsibility for the entire system development lifecycle Collaborate with the business team to perform acceptance testing and participate in integration testing Participate in production support/service rotation, including weekend and after-hours support Provide solution delivery methodology artefacts (ERGO Essence Model) in conjunction with application components. Participate in technical reviews at appropriate stages of development Key Competencies & Skills requiredTechnical: Experience in all components of software delivery with concentration in requirements, design and development. Quick starter to troubleshoot/resolve incidents and business support items Experience in SAS / Datawarehouse Tecnologies Has knowledge in all common MS-Office products, Jira, Confluence, Enterprise Architect Knowledge Test Tools for Support (e.g. ALM) Nice to have: Insurance Know How Basic knowledge of Cobol / Mainframe Exposure to collaboration tools like SharePoint, Fileshare, Agile Methodology, Confluence, KanBan Knowledge Insurance Know How Behavioral Skills: Excellent interpersonal and communication skills for working in a global environment Experience working with technical support team(s). Being customer oriented. Very good English (speaking/writing) skills. Willingness to learn and quickly adapt to changing requirements Proactive approach to identifying issues and presenting solutions and options Prioritize business impact and urgency Ability to learn new technology and methodology quickly. Soft Skills: Very good knowledge in handling application support and maintenance projects with different skills. Good analytical and problem solving skills in a short time frame Detail orientation Initiative, reliability and dedication Very good communication and presentation skills Ability to work in a team Ability to deal with conflict Flexibility Ability to work under pressure Previous Experience & QualificationsEducation/Qualification: A degree in Computer Science or equivalent or a related discipline; or equivalent work experience Knowledge & Experience: 2-3 years of SAS and Datawarehouse Development background in design, analysis and coding, bug fixing Financial Services background appreciated Experience of working within multi-location teams English