Data Analyst Intern
Banque Lombard Odier & Cie SA
Geneva
Key information
- Publication date:04 October 2025
- Workload:100%
- Place of work:Geneva
Job summary
Join Lombard Odier, a leading global asset manager focused on sustainable investments. Enjoy a collaborative work environment with growth opportunities.
Tasks
- Support data-driven projects and initiatives within the team.
- Implement and test business logic for various data processes.
- Assess new data management tools and analyze business requirements.
Skills
- Master's degree in IT, Computer Science, or Data Management required.
- Strong knowledge of relational databases and SQL essential.
- Familiarity with cloud technologies and fast-paced environments preferred.
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Those who choose a career at Lombard Odier work for a renowned, global asset manager and asset manager focused on sustainable investments. We are an independent and innovative bank of first choice for private and institutional clients. Our group is one of the best capitalized worldwide. We manage around CHF 300 billion and operate from over 25 offices on four continents.
With our over 225-year history, we are an investment house with a comprehensive range of discretionary and advisory portfolio management as well as financial services. We also successfully market our state-of-the-art technology platform to other financial institutions. Through Lombard Odier Investment Managers, we offer asset management services and investment strategies.
"Rethink Everything" is our philosophy – it is at the heart of our actions. We have become stronger through more than 40 financial crises by constantly rethinking the world around us. This way, we always offer our clients new investment perspectives.
Lombard Odier Investment Managers (“LOIM”) is the asset management business of the Lombard Odier Group. In order to strengthen our Data Management team, we are looking for a:
Data Analyst Intern
Our IT ecosystem leverages cutting-edge solutions from leading financial software providers, complemented by in-house developments built using agile methodologies and DevOps practices. At the core of our architecture lies a robust Data Management platform, which plays a pivotal role in enabling our digital transformation, business intelligence initiatives, and artificial intelligence strategy.
In this role, you’ll contribute to strategic data governance and migration initiatives, while actively supporting and engaging users of our data platform.
YOUR ROLE
- Working on data-driven and data migration projects;
- Implementing and testing business logic;
- Supporting our business users;
- Assessing new data management tools; and
- Analyzing new business requirements, proposing and implementing solutions.
YOUR PROFILE
- Master’s degree (ongoing or completed) in IT, Computer Science, or Data Management
- Strong knowledge of relational databases and SQL; C# or Python is a plus
- Familiarity with cloud and data platform technologies
- Ability to multitask and work in a fast-paced environment
- Fast learner with solid problem-solving skills
- This position is open to both recent graduates and experienced professionals eager to learn about asset management.
Five values define the DNA of our house. Excellence motivates us to be the best in our field, and Innovation enables our progress. Respect is the foundation of our interactions, and Integrity guides our actions. Together we are One Team, passionately committed to serving our clients.
We promote an inclusive and integrative working environment for our employees. Diversity, Equality, and Inclusion are firmly anchored in our corporate philosophy ‘La Maison’ and we strive to enable our employees to achieve both their professional and personal goals. We promote internal career paths through individualized and competency-based training offers. We are firmly convinced that building diverse teams contributes to our sustainable success and is therefore the foundation of our corporate strategy.
It is a great opportunity to become part of the team. All applications will be treated with strict confidentiality.