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lorenzo-natali/README.md

Lorenzo Natali

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Designing systems to transform audit from control function to analytical engine

Internal Audit | Technology Risk | AI Governance

Profile

Internal auditor operating at the intersection of risk, systems and data.

My work explores how audit can evolve from retrospective control to forward-looking analysis, integrating technology, data flows and structured methodologies.

Focus Areas

  • IT Audit & Information Systems Governance
  • Technology Risk & Digital Operational Resilience (DORA)
  • AI Governance & emerging regulation
  • Financial Risk & IFRS 9

These domains converge into a single direction: structuring audit as a data-driven, system-oriented discipline.

Current Project

AI Audit Workflow

Designing a structured audit system integrating local LLM agents, data extraction and workflow automation.

Objective: build reproducible and scalable audit processes, reducing reliance on manual analysis.

Research & Development

Exploring the integration of quantitative risk models and system-based audit approaches:

  • Credit risk modeling (PD, LGD, ECL – IFRS 9)
  • Portfolio risk analysis and segmentation
  • System log analysis and anomaly detection
  • Stress testing and scenario simulation

Objective: connect financial risk modeling with technology-enabled audit frameworks.

Tech

Python • Data Analysis • Automation
Local LLM agents • AI-assisted workflows

Popular repositories Loading

  1. ai-audit-workflow ai-audit-workflow Public

    AI-assisted audit workflow integrating local LLM/VLM models, a CLI-based agent and structured data extraction to support audit analysis and documentation.

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  2. lorenzo-natali lorenzo-natali Public

  3. professional-portfolio professional-portfolio Public

    Professional portfolio at the intersection of audit, risk, data and technology.

    JavaScript