AI-Driven Investment Research Intern (Master's)

Pictet Group; Genf; On-site; CHF 20,000 - 27,000; Full time

Job summary

The Pictet Group's Investment Office in Geneva invites a Master’s student to join as an Intern (Investment Analytics & AI Applications). You will support investment research, portfolio construction and risk management using data science and AI within a partner-owned wealth platform.

You will develop AI applications, build quantitative tools, and collaborate with investment teams across asset classes to improve processes through technology and data.

Qualifications

• Master's student in Finance, Mathematics, Computer Science, Data Science or a related quantitative field.
• Strong interest in investing, financial markets and technology.
• Excellent programming skills, preferably in Python.
• Familiarity with data analysis and Generative AI tools.
• Interest in applying AI and quantitative techniques to real-world investment and portfolio management challenges.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to work independently while collaborating effectively with investment professionals across disciplines.
• Proficient in standard productivity tools (MS Office).
• Excellent command of English; French is an advantage.

Responsibilities

• Develop AI applications to support investment research and decision-making.
• Build quantitative tools and analytics for portfolio construction, asset allocation, risk management and implementation.
• Leverage data and automation to enhance investment research workflows.
• Partner with investment teams across asset classes to improve investment processes through technology and data.

Skills

Python programming

Data analysis

Generative AI

Analytical thinking

Independent work

English proficiency

French language

Education

Master's student in Finance/Math/CS/Data Science

Tools

MS Office

Job description

The Pictet Group's Investment Office in Geneva invites a Master’s student to join as an Intern (Investment Analytics & AI Applications). You will support investment research, portfolio construction and risk management using data science and AI within a partner-owned wealth platform.

You will develop AI applications, build quantitative tools, and collaborate with investment teams across asset classes to improve processes through technology and data.