Internship – Next-Gen Identity Matching using Vector Search

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.

Internship – Next-Gen Identity Matching using Vector Search

Join our CRM innovation stream to explore and implement a modern approach to identifying duplicate person records using vector similarity search. This internship offers a unique opportunity to work on cutting-edge technologies in the field of data quality and entity resolution.

YOUR ROLE

• Analyze the current duplicate detection logic and identify its limitations.

• Design and implement a proof-of-concept using vector search techniques (e.g., nearest neighbor search).

• Evaluate and compare vector database solutions such as Redis Vector and Elasticsearch.

• Develop APIs and services using Java with Quarkus or Spring Boot.

• Document architectural decisions and contribute to DevSecOps pipelines.

• Collaborate with data engineers, CRM developers, and business analysts to refine the solution.

YOUR PROFILE

• Enrolled in a Master’s degree in Computer Science, Data Engineering, or a related field.

• Strong interest in Java development and microservice frameworks.

• Strong interest in vector databases, similarity search, or machine learning.

• Knowledge of Redis, Elasticsearch, or other vector search engines will be highly considered.

• Curious, analytical, and eager to explore innovative approaches to data problems.

• Fluent in English and French. Other language is a plus.

• Resident in Switzerland or willingness to relocate.

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 mission '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.