Internship: Agentic AI for financial investigation and management reporting

ELCA; Pully; Remote; CHF 18,000 - 27,000; Part time

Job summary

ELCA in Switzerland is offering a six-month internship starting February 2027 in Pully to explore Agentic AI for financial controlling and management reporting.

You will analyze current reporting processes, conduct stakeholder interviews, design and prototype a data-driven financial investigation agent, and validate AI-generated analyses against expert assessments while documenting traceable explanations. The project aims to reduce lead times and enable sharper business partnering.

Qualifications

• 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.

Responsibilities

• Process analysis of current reporting to identify bottlenecks.
• Literature review on Agentic AI and trustworthy AI.
• Agent design and prototyping to analyze data from multiple systems.
• Validation and evaluation against expert controller assessments.
• Recommendations and roadmap for industrializing AI-assisted financial investigation and reporting.

Skills

Python

Java

Analytical skills

Problem solving

AI interest

Business analytics

Education

Master in Computer Science

Master in Data Science

Master in Data Engineering

Job description

Start date: February 2027 · Duration: 6 months

Monthly analytical financial reporting is a critical process for business steering. Today, the production of management reports for each Business Unit remains highly manual, requiring data collection, reconciliation, validation, investigation of unexpected deviations, and interaction with business stakeholders across multiple systems.

As a result, reports are typically available around 7 working days after accounting close. The objective is to reduce this 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.

Objectives

This internship explores how Agentic AI can support financial controlling and management reporting while maintaining the level of accuracy, traceability, and trust required in a finance environment. The following activities are foreseen:

• 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.

What we offer

• 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

About your profile

• 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