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The successful candidate will support the global GIA team based in the EMEA, UK, US and APAC regions. This is a unique and important role within GIA. The successful candidate will bring strong expertise in technology, data, AI development, testing, governance and risk management, helping GIA provide effective assurance over the organisation's expanding use of digital technologies and AI-enabled solutions.\nThe role has a dual focus: (1) supporting audits over technology, data, automation and AI-related risks, applications, processes and controls; and (2) helping to shape the future of GIA by developing and applying data analytics, automation solutions, and AI tools that enhance audit effectiveness, efficiency and insight generation.\nThis role is a strong accelerator to leverage and expand your expertise, tackle real business challenges, and deliver tangible impact. The successful candidate will work closely with both GIA teams and SCOR's wider Technology & Data communities, acting as a bridge between technical innovation and risk-based assurance.\nCandidates may come from a variety of technology, data, AI or analytical backgrounds and, whilst internal audit or enterprise risk management experience would be advantageous, it is not essential. The successful candidate will be supported by experienced members of the GIA team, providing an opportunity to develop audit and assurance expertise alongside their existing technical skills. We are seeking curious, motivated individuals who are keen to apply their technology, data and AI skills in a new and evolving context while helping to transform the future of GIA.\n This description takes into account the principal responsibilities and is not to be considered exhaustive:\nTechnology, Data & AI Assurance\nSupport audits covering technology platforms, cloud environments, data management, automation initiatives, AI solutions and emerging technologies.\n\nEvaluate technology development, change management, model governance, AI lifecycle management, data quality and cybersecurity controls.\n\nReview AI solutions, machine learning models and intelligent agents for governance, accountability, explainability, fairness, transparency and regulatory compliance.\n\nPerform risk assessments and identify emerging technology and AI risks that should be incorporated into audit planning.\n\nSupport auditors in evaluating complex technology-related control environments and translating technical concepts into business risks and audit conclusions.\n\nContribute to the assessment of the design and effectiveness of governance, risk management frameworks, internal controls and oversight arrangements for technology and AI-related activities.\n\nData Analytics & Continuous Assurance\nDesign and execute advanced data analytics to identify risks, anomalies, trends and control weaknesses.\n\nDevelop automated testing and continuous auditing capabilities.\n\nCreate dashboards, visualisations and data-driven insights to support audit planning, fieldwork and reporting.\n\nPromote the use of analytics across the audit lifecycle and build data literacy within the audit team.\n\nInternal Audit Innovation & Transformation\nIdentify opportunities to automate audit activities and improve audit productivity.\n\nDesign, build and deploy AI-enabled tools, workflow automations and intelligent agents to support audit execution.\n\nContribute to the development of the Internal Audit technology and innovation roadmap.\n\nStakeholder Engagement & Collaboration\nPartner with Technology, Data & AI teams to understand significant programmes, architectures, risks and control environments.\n\nAct as a subject matter expert for technology, data and AI matters across the Internal Audit team.\n\nProvide coaching and technical guidance to auditors in technology and AI-related areas.\n\nSupport discussions with senior management, risk functions and governance committees regarding technology and AI risk management practices.\n\nMaintain awareness of relevant industry developments, regulatory expectations and emerging risks.\n\n Required Experience\nCandidates should possess several of the following:\n3-5+ years’ experience in AI development, data engineering, data science, technology consulting, software engineering, automation, technology risk, IT audit or digital transformation.\n\nPractical experience designing, building, deploying, testing or reviewing technology, automation, data analytics or AI solutions.\n\nHands-on experience with modern enterprise data and AI platforms, such as Databricks, Palantir Foundry, Microsoft Fabric, Azure AI, Azure OpenAI, Snowflake, Dataiku or equivalent.\n\nPractical knowledge of Generative AI, Large Language Models, Retrieval Augmented Generation, Agentic AI, multi-agent systems, machine learning or predictive analytics.\n\nExperience with AI and data solution lifecycle controls, including data quality, data lineage, model testing, prompt testing, access controls, monitoring, explainability, human oversight and governance.\n\nStrong data analytics capability, including Python, SQL, Spark, Power BI, Tableau or equivalent tools.\n\nAbility to translate complex technical concepts into practical business risks, control implications and clear audit conclusions.\n\nDesirable Experience\nInternal Audit experience. Experience auditing technology, data analytics or AI environments.\n\nInsurance, reinsurance or financial services experience.\n\nExperience with AI governance, model risk management or responsible AI frameworks.\n\nRequired Technical Competencies\nStrong understanding of technology architecture, data management and modern software development practices.\n\nWorking knowledge of AI, machine learning, Generative AI, Large Language Models (LLMs) and Agentic AI.\n\nStrong data analytics capability, including experience with platforms such as Python, SQL, Power BI, Tableau, Databricks, Palantir Foundry.\n\nUnderstanding of technology risks, cybersecurity principles and control frameworks.\n\nAbility to assess and test automated controls, algorithms and AI-enabled processes.\n\nAbility to design innovative technology solutions to improve business processes.\n\nRequired Personal Competencies\nIntellectual curiosity and passion for innovation.\n\nStrong problem-solving and analytical 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Data Scientist Associate)\n\nAWS Certified Machine Learning Engineer\n\nGoogle Professional Machine Learning Engineer\n\nCISA - Certified Information Systems Auditor\n\nCAIP - Certified Artificial Intelligence Practitioner","description_format":"text","description_chars":7532,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"China","iso":"CN","kind":"region"},{"name":"India","iso":"IN","kind":"region"},{"name":"Germany","iso":"DE","kind":"region"},{"name":"Japan","iso":"JP","kind":"region"},{"name":"France","iso":"FR","kind":"region"},{"name":"United Arab Emirates","iso":"AE","kind":"region"},{"name":"United 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