Monthly analytical financial reporting is a critical process for business steering. The production of management reports for each Business Unit is currently highly manual, involving data collection, reconciliation, validation, investigation of unexpected deviations, and interaction with business stakeholders across multiple systems. The objective is to reduce lead time, enabling Business Owners to take corrective actions sooner and allowing financial analysts to focus more on business partnering and leadership activities rather than data consolidation and investigation. Recent advances in Agentic AI open the possibility of creating a Financial Investigation Agent capable of analyzing information from multiple enterprise systems, identifying the root causes of financial variances, validating figures, reconciling inconsistencies, and generating evidence-based explanations.
Tasks
- Process analysis and stakeholder interviews: understand the current reporting process, identify bottlenecks, and capture how controllers and business managers investigate financial deviations.
- Literature review and state of the art: study recent research on Agentic AI, trustworthy AI, financial analytics, and human-AI collaboration.
- Agent design and prototyping: design and implement a prototype capable of analyzing data from multiple systems, identifying significant variances, investigating potential causes, and generating traceable explanations.
- Validation and evaluation: compare AI-generated analyses with expert controller assessments and measure accuracy, trustworthiness, and potential effort reduction.
- Recommendations and roadmap: define how AI-assisted financial investigation and reporting can be industrialized within the organization.
Requirements
- Master student in Computer Science, Data Science, Data Engineering or similar field
- Interest in AI, Large Language Models, and agent-based systems
- Programming skills (Python, Java)
- Strong analytical and problem-solving skills
- Interest in business analytics
Benefits
- A dynamic and collaborative environment with experienced finance, data, and AI professionals
- The opportunity to work on a high-impact and highly visible business challenge
- Exposure to Agentic AI, enterprise data platforms, and financial analytics
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