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Lombard Odier Investment Managers

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Junior Data Production & Support Engineer

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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 225 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.

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:

Junior Data Production & Support Engineer

In this role, you will be responsible for ensuring the smooth operation of our data management platform, supporting business users and contributing to data-driven initiatives across the organization. You will work closely with both technical and business teams to maintain high levels of data quality, reliability and service.

YOUR ROLE

  • Monitor the Data Management platform and take appropriate corrective actions to ensure operational stability and performance.
  • Provide day-to-day support to business users and investigate issues in a timely manner.
  • Design and implement controls to identify data quality issues, and collaborate with system owners and stakeholders to resolve them.
  • Develop SQL queries and configure data extracts to meet business requirements.
  • Analyse business needs, propose appropriate solutions, and participate in their implementation.
  • Contribute to the continuous improvement of platform processes, controls, and user experience.

YOUR PROFILE

  • Bachelor's or Master's degree in Information Technology, Computer Science, or a related field.
  • Sound knowledge of relational databases, SQL, and Python. Experience with cloud-based data platforms would be an advantage.
  • Exposure to the Asset Management or Hedge Fund industry through professional experience, internships, academic projects, or coursework is desirable.
  • Strong analytical and problem-solving skills, with a keen attention to detail.
  • Ability to work effectively under pressure, manage multiple priorities, and meet deadlines.
  • Excellent communication and interpersonal skills, with a service-oriented mindset.

What we are looking for

  • A proactive and curious individual with a genuine interest in data and technology.
  • A team player capable of collaborating with both technical and business stakeholders.
  • Someone eager to learn, take ownership, and actively contribute to the success of our data management and AI initiatives.

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.

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