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Internship – AI Software Engineer - AI-Powered Portfolio Intelligence; PMS

Job in Genf, Geneva, Switzerland
Listing for: Lombard Odier Group
Apprenticeship/Internship position
Listed on 2026-09-30
Job specializations:
  • Finance & Banking
Salary/Wage Range or Industry Benchmark: 13000 - 20000 CHF Yearly CHF 13000.00 20000.00 YEAR
Job Description & How to Apply Below
Position: Internship – AI Software Engineer - AI-Powered Portfolio Intelligence (PMS)
Location: Genf

A career at Lombard Odier means working for a renowned global wealth and asset manager, with a strong focus on sustainable investing. An innovative bank of choice for private and institutional clients, our independently owned Firm is one of the best-capitalised banking groups in the world, managing close to CHF 300 billion and operating from over 25 offices across 4 continents.

With a history spanning over 230 years, Lombard Odier is an investment house providing a comprehensive offering of discretionary and advisory portfolio management, wealth services and custody. We also offer asset management services and investment strategies through Lombard Odier Investment Managers and provide advanced banking technology to other financial institutions. “Rethink Everything” is our philosophy – it is at the heart of everything we do.

We have grown stronger through more than 40 financial crises by rethinking the world around us to provide a fresh investment perspective for our clients.

Internship – AI Software Engineer - AI-Powered Portfolio Intelligence (PMS)

Are you passionate about Artificial Intelligence, data engineering and financial markets? Join our Portfolio Management Systems team and help shape the next generation of AI-powered tools used by private bankers and investment specialists. This internship will allow you to work at the intersection of portfolio analytics, conversational AI and software engineering. You will contribute to the development of intelligent services enabling bankers to interact with portfolio data using natural language and obtain actionable insights in real time.

YOUR

ROLE
  • Design and develop AI-powered portfolio intelligence services capable of answering complex investment questions through conversational interfaces and advanced portfolio analytics.
  • Develop services allowing 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 the integration of these services into future AI-driven assistant solutions.
YOUR PROFILE
  • Master's student in Computer Science, Data Science, Financial Engineering or 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
WHAT YOU WILL GAIN
  • Hands-on experience building AI solutions used by front-office professionals.
  • Exposure to portfolio management and investment processes.
  • Work with real financial datasets.
  • Opportunity to contribute to strategic Wealth Management initiatives.
  • Mentoring from experienced software engineers and product managers.

Our Maison’s DNA is defined by five core values. Excellence drives us to be the best at what we do, while Innovation fuels our progress. Respect underpins every interaction, and Integrity shapes our actions. Together, we are One Team, united in serving our clients with unwavering dedication.

As a responsible and supportive employer, we promote a diverse and inclusive work environment for our employees and candidates. Diversity, Equity and Inclusion are woven into the fabric of our Maison’s DNA, and we strive to ensure that our employees can fulfill both their personal and professional aspirations by encouraging internal mobility and individual upskilling programs. We firmly believe that building Diverse Teams contributes to our successes and to deliver on this, we actively embed Diversity, Equity and Inclusion in our business…

Position Requirements
Less than 1 Year work experience
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