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Internship - AI Engineer - AI-Powered CRM - Data Extraction & KYC Support

Bank Lombard Odier & Co Geneva, Switzerland
Posted 7 hours ago Permanent Competitive

Internship - AI Engineer - AI-Powered CRM - Data Extraction & KYC Support

Bank Lombard Odier & Co Geneva, Switzerland
Internship - AI Engineer - AI-Powered CRM - Data Extraction & KYC Support
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 Engineer - AI-Powered CRM - Data Extraction & KYC Support

Know Your Customer (KYC) processes require the review, interpretation and validation of large amounts of client documentation. Artificial Intelligence offers significant opportunities to automate repetitive tasks and improve operational efficiency.

As part of our AI-Powered CRM initiative, you will contribute to the development of intelligent solutions capable of extracting, organizing and validating information from client documents and onboarding processes.

YOUR ROLE
  • Leverage AI technologies to simplify document processing, improve data quality and support KYC activities within the CRM platform.
  • Analyse document processing workflows.
  • Explore OCR and document intelligence solutions.
  • Develop information extraction capabilities.
  • Build validation and quality-control mechanisms.
  • Integrate extracted data into CRM workflows.
  • Collaborate with compliance, operations and development teams.
  • Evaluate opportunities for further automation.

YOUR PROFILE
  • Master's student in Computer Science, Data Science or Engineering.
  • Interest in AI, document processing and automation.
  • Experience with backend, frontend and database technologies.
  • Knowledge of data processing frameworks is a plus.
  • Strong analytical skills and attention to detail.
  • Ability to work in a multidisciplinary environment.
  • Residence in Switzerland or willingness to relocate

WHAT YOU WILL GAIN
  • Exposure to real-world AI applications in regulated environments.
  • Opportunity to work on high-impact operational challenges.
  • Experience with document intelligence technologies.
  • Participation in a strategic transformation programme combining AI, operations and customer experience.

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 strategy.

It is an exciting time to join our Teams. All applications will be handled in the strictest confidence.
Job ID  R0007640
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