Your team

The Pictet Group is one of the world's leading independent wealth and asset managers. Founded in 1805 and headquartered in Geneva, Switzerland, the Group is represented in 30 offices in financial centres worldwide, currently employing over 5,000 people.

Pictet Wealth Management combines more than 200 years of Swiss banking heritage with global investment expertise. The Partner-owned financial service group offers a comprehensive service for wealthy individuals and families including discretionary and advisory investment solutions and family office services.

We are seeking to recruit a Master's thesis Trainee (Discretionary Portfolio Management - Portfolio Structuring). Your mission will be to assist the PWM Investment Platform (“IP”) and Discretionary Portfolio Management (“DPM”) in daily activities and strategic projects.

Your role

• Support PWM DPM multi-asset and single asset teams via production of quantitative analytics and portfolio structuring research.
• Contribute actively to working groups and projects related to DPM / IP activities (systematic asset allocation, impact / thematic investing, active vs passive management).
• Participate to the diffusion of Artificial Intelligence applications such as Natural Language Processing, Machine Learning and Large Language Models in PWM IP activities and processes.

Your profile

• Master's student in Finance, Mathematics or Computer Science.
• A definite interest in financial markets and technology.
• Proficient in the usual IT tools (MS Office).
• Programming (Python preferably) and machine learning skills required.
• Familiarity with Generative AI and Natural Language Processing and their application to financial tasks.
• A strong team player able to work across PWM teams and the bank's business lines.
• Perfect command of French and/or English.
• Must be resident in Switzerland.

Ref: MT/AJ/YB

Note

We will not accept any CVs via agencies

Diversity & Inclusion

Pictet is an equal opportunity employer and is committed to creating a diverse environment. We respect all individuals and seek their inclusion in the workplace.

Job ID 121186