Internship: Agentic AI for financial investigation and management reporting

ELCASecurity; Pully; Remote; CHF 20,000 - 31,000; Part time

Benefits offered by this job

Dynamic environment

High visibility project

Agentic AI exposure

Job summary

ELCASecurity invites Master students in Computer Science, Data Science, or related fields to join a six-month internship starting February 2027. You will help build an AI-driven financial investigation prototype capable of analyzing data from multiple systems, identifying variances, and generating traceable explanations.

The role focuses on reducing reporting lead times, enabling better stakeholder interactions and more time for strategic business analytics.

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

• Analyze current financial reporting processes and identify bottlenecks.
• Review literature on Agentic AI, trustworthy AI, and financial analytics.
• Design and prototype an AI-driven financial investigation prototype that analyzes data from multiple systems.
• Validate AI analyses against expert controller assessments and measure accuracy and trust.
• Develop a roadmap for industrializing AI-assisted investigation and reporting.

Skills

Python

Java

Analytical skills

Problem solving

Business analytics

Education

Master student in Computer Science/Data Science

Tools

Jupyter

Pandas

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