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Configure and implement SAS Financial Management for budgeting, forecasting, consolidation, and reporting. Gather finance requirements, develop ETL/data integration using SAS, build reports and dashboards, perform SIT/UAT testing, troubleshoot, and provide post-implementation support with documentation. Collaborate with finance stakeholders and apply FP&A, general ledger, and consolidation knowledge.

Design, configure, and support ServiceNow GRC solutions (policy, risk, audit, vendor risk). Build Workspaces and Service Portals, create catalog forms, develop integrations via REST/SOAP and MID Server, write custom JavaScript scripts and ServiceNow components, optimize processes, perform platform maintenance, troubleshoot issues, and provide end-user training.

The role involves leading internal audits, managing project teams, delivering quality client services, and analyzing risks in business processes. Requires strong analytical skills and domain knowledge in risk consulting.

This role involves conducting IT audits within the financial sector, performing SOX compliance testing, and assessing IT application controls. Responsibilities include risk assessment, client communication, engagement planning, and collaboration on audit activities.

As a Senior in GBS Advisory at KPMG, you will provide advisory services to national and international clients, leveraging both global and local industry knowledge.

The Senior Manager for Gen AI at KPMG leads initiatives in artificial intelligence, providing technology-driven solutions to clients across various sectors.

Seniors conduct internal audits and risk consulting while managing teams and working directly with clients. They ensure quality client services and are responsible for project deliverables.

Responsible for IT audits, testing controls, risk assessments, and evaluating controls related to IT internal audit for financial services, while maintaining client relationships and following up on project progress.

Seeking a Senior Pega Developer to design and develop applications using Pega Infinity, mentor juniors, and ensure best practices in development.

The role involves designing, developing, and deploying Generative AI solutions using large language models. Key tasks include fine-tuning models, implementing RAG pipelines, and ensuring compliance with ethical AI guidelines, while collaborating with various teams.