Back
PictetPictetResearchJuniorInternshipScraped 4 days ago

Master's Thesis - Discretionary Portfolio Management

est. by Gemini 2.0 FlashCHF 40'000 – 60'000/ year
GenevaMachine LearningNLPGenerative AILLM

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 31 offices in financial centres worldwide, currently employing over 5,500 people.

Pictet Wealth Management combines more than 220 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 an Portfolio Construction & Analytics Intern. Your mission will be to assist the PWM Investment Platform (“IP”) and Discretionary Portfolio Management unit (“DPM”) in their daily activities and strategic projects.

Your role

  • Take part in deploying artificial intelligence applications such as natural language processing, machine learning and large language models in PWM IP activities and processes.
  • Support PWM IP activities via production of quantitative analytics and portfolio construction research.
  • Contribute actively to working groups and projects related to DPM/IP activities (systematic asset allocation, impact/thematic investing, active risk budgeting).

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.

Start date: February/March 2027

This opportunity is intended for students completing a Master’s thesis required by their academic programme. Only candidates whose Master’s degree requires an internship are eligible to apply.

Apply now