AI Software Engineer Intern – Portfolio Intelligence (PMS)

Salary: CHF 55'000 - 75'000 per year

Requirements:

Masters student in Computer Science, Data Science, Financial Engineering or a related field

Strong programming skills in Java or Node.js

Interest in AI, LLMs and distributed systems

Interest in financial markets

Analytical and problem-solving mindset

Fluent in English or French

Residence in Switzerland or willingness to relocate

Responsibilities:

Design and develop AI-powered portfolio intelligence services that answer complex investment questions through conversational interfaces and advanced portfolio analytics

Develop services that enable AI assistants to retrieve and analyze portfolio data

Build analytics capabilities covering performance, attribution, risk and benchmark comparisons

Enable natural-language portfolio exploration

Implement investment universe search and screening capabilities

Work closely with data engineers, product owners and investment specialists

Contribute to integrating these services into future AI-driven assistant solutions

Technologies:

AI

Support

Java

NodeJS

Fabric

More:

We are Lombard Odier, a renowned global wealth and asset manager with a strong focus on sustainable investing. Independently owned, we manage close to CHF 300 billion and operate from over 25 offices across four continents. With a history spanning more than 230 years, we offer portfolio management, wealth services, custody, asset management and investment strategies, as well as advanced banking technology for other financial institutions. Our Rethink Everything philosophy guides our work. In this internship with our Portfolio Management Systems team, you will help shape AI-powered tools for private bankers and investment specialists, working at the intersection of portfolio analytics, conversational AI and software engineering. We offer hands-on experience building AI solutions for front-office professionals, exposure to portfolio management and investment processes, work with real financial datasets, opportunities to contribute to strategic Wealth Management initiatives, and mentoring from experienced software engineers and product managers. Our values are Excellence, Innovation, Respect, Integrity and One Team. We promote a diverse and inclusive work environment and support personal and professional aspirations through internal mobility and individual upskilling programs. Applications are handled in the strictest confidence.

last updated 40 week of 2026