Internship: Agentic AI for Financial Investigation & Reporting

ELCASecurity

Pully

Remote

CHF 20,000 - 31,000

Part time

11 days ago

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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

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.

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