Master's Thesis - AI & Automation for Customised Reporting (12 months contract)

Das Wichtigste

Das bringst du mit

• Must be an EPFL master's student eligible for a 12-month internship
• Strong programming skills in Python or similar languages required
• Familiarity with applied AI and data manipulation techniques needed
• Solid analytical, quantitative and problem-solving skills
• Ability to translate business needs into practical technical solutions
• Practical knowledge of applied AI, including large language models, retrieval-augmented generation and model evaluation

Deine Aufgaben

• Map the end-to-end customised reporting production model, including effort, tools, data flows, controls, risks, dependencies and failure points
• Identify, assess and prioritise opportunities to industrialise and automate data aggregation, validation and reporting workflows
• Design, develop, test and implement practical solutions and AI-enabled use cases for data extraction, anomaly detection, commentary generation and report production
• Build robust End User Computing capabilities that empower reporting specialists while ensuring appropriate documentation, controls and maintainability
• Deliver working tools and prototypes, a prioritised roadmap, documented procedures, user guidance and team training
• Ensure an effective handover and a structured academic report

Das wird geboten

• Collaborative work environment in a four-person team
• Opportunity to gain experience in investment reporting and contribute to reducing manual workload, capacity constraints and operational risk
• Work closely with the Customised Solutions team and relevant data teams to adopt modern tools and ways of working
• Equal opportunity employer committed to creating a diverse environment

Über die Stelle

Join our four-person Customised Reporting team at Pictet, Geneva. This 12-month opportunity offers a collaborative work environment and valuable experience in investment reporting. Tasks include mapping the customised reporting production model and identifying risks, automating data aggregation and reporting workflows for efficiency, and collaborating with teams to design AI-enabled reporting solutions.

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