In this role, you will help assure SCOR’s expanding use of digital technologies and AI-enabled solutions by applying your expertise in technology, data, AI development, testing, governance and risk management. You will support audits across technology, data, automation and AI-related risks, while also shaping the GIA’s future through data analytics, automation and AI tools. You will work closely with GIA and SCOR’s Technology & Data communities to bridge innovation with risk-based assurance, driving tangible impact and cross-functional collaboration.
Responsibilities
Support audits of technology platforms, data management, automation initiatives, AI solutions and emerging tech.
Evaluate design and effectiveness of governance, risk management, and controls for technology and AI activities.
Review AI solutions, ML models and agents for governance, explainability, fairness and regulatory compliance.
Perform risk assessments and identify technology and AI risks for audit planning.
Develop automated testing and continuous auditing capabilities; create dashboards and data-driven insights.
Design and deploy AI-enabled tools, automation, and intelligent agents to support audit execution.
Contribute to the Internal Audit technology and innovation roadmap.
Collaborate with Technology, Data & AI teams to understand architectures, risks and controls; mentor auditors on tech topics.
Key requirements
3-5+ years in AI development, data engineering, data science, technology consulting, software engineering, automation, technology risk, IT audit or digital transformation.
Hands-on experience designing, building, deploying, testing or reviewing technology, automation, data analytics or AI solutions.
Experience with Databricks, Palantir Foundry, Microsoft Fabric, Azure AI, Azure OpenAI, Snowflake, Dataiku or equivalent.
Knowledge of Generative AI, LLMs, Retrieval Augmented Generation, multi-agent systems, ML or predictive analytics.
Experience with AI and data solution lifecycle controls (data quality, data lineage, model testing, access controls, monitoring, explainability, governance).
Strong data analytics capability (Python, SQL, Spark, Power BI, Tableau).
Ability to translate technical concepts into business risks, controls, and audit conclusions.
Intellectual curiosity and passion for innovation
Strong problem-solving and analytical skills
Self-starter, capable of managing multiple priorities
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