AI Software Engineer Intern - Portfolio Intelligence

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:

A career with us means joining Lombard Odier, a renowned global wealth and asset manager with a strong focus on sustainable investing. We are an independently owned banking group serving private and institutional clients, managing close to CHF 300 billion and operating from more than 25 offices across four continents. With a history spanning over 230 years, we offer discretionary and advisory portfolio management, wealth services, custody, asset management and advanced banking technology. Our Rethink Everything philosophy has helped us grow stronger through more than 40 financial crises. This internship is with our Portfolio Management Systems team, working at the intersection of portfolio analytics, conversational AI and software engineering to shape AI-powered tools for private bankers and investment specialists. You will gain hands-on experience building solutions for front-office professionals, work with real financial datasets, learn about portfolio management and investment processes, contribute to strategic Wealth Management initiatives, and receive 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, support internal mobility and individual upskilling, and handle all applications in the strictest confidence.

last updated 43 week of 2026