Discretionary Portfolio AI & Analytics Intern (12-month)

Pictet Group; Genf; On-site; CHF 19,000 - 28,000; Full time

Job summary

Pictet Group seeks a Portfolio Construction & Analytics Intern to assist the PWM Investment Platform and Discretionary Portfolio Management unit with daily tasks and strategic projects. You will engage with AI applications, analytics, and research supporting portfolio construction work.

The role is ideal for a Master’s student in Finance, Mathematics or Computer Science with programming and ML skills, and a strong interest in financial markets and technology. Start date February/March 2027.

Qualifications

• Master’s student in Finance, Mathematics or Computer Science.
• Strong interest in financial markets and technology.
• Proficient in IT tools (MS Office).
• Programming (Python) and machine learning skills required.
• Familiarity with generative AI and NLP and their application to finance.
• Strong team player, able to work across PWM teams and the bank’s business lines.
• Fluent in French and/or English.

Responsibilities

• Participate in deploying AI applications such as NLP, ML and LLMs in PWM IP activities and processes.
• Support PWM IP activities via production of quantitative analytics and portfolio construction research.
• Contribute to working groups and projects related to DPM/IP activities (systematic asset allocation, impact/thematic investing, active risk budgeting).

Skills

Python

Machine learning

Natural language processing

Generative AI

MS Office

Team collaboration

Education

Master’s student in Finance, Mathematics or Computer Science

Tools

MS Office

Python

Job description

Pictet Group seeks a Portfolio Construction & Analytics Intern to assist the PWM Investment Platform and Discretionary Portfolio Management unit with daily tasks and strategic projects. You will engage with AI applications, analytics, and research supporting portfolio construction work.

The role is ideal for a Master’s student in Finance, Mathematics or Computer Science with programming and ML skills, and a strong interest in financial markets and technology. Start date February/March 2027.