Data Quality & Governance Analyst

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:

Data Quality & Governance Analyst

You will join a global business of more than 400 professionals and a network of 13 offices across Europe, Asia and North America. You will report to the Data Governance Lead, and will work closely with data stewards, engineers, and business stakeholders to ensure the integrity, usability, and trustworthiness of data.

YOUR ROLE

Data Quality Monitoring & Analysis

• Perform data profiling and validation across critical datasets to assess accuracy, completeness, and consistency.
• Define and maintain data quality rules, thresholds, and metrics.
• Identify, investigate, and resolve data quality issues in collaboration with data owners and stewards.
• Track recurring issues and contribute to root cause analysis and long-term remediation efforts.

Data Governance Support

• Maintain and update business glossaries, data dictionaries, and metadata repositories.
• Support the implementation of data governance policies, standards, and stewardship practices.
• Assist in documenting data lineage and data flows across systems and processes.
• Help ensure consistent use of data definitions and standards across business units.

Operational Data Management

• Support day-to-day data operations including onboarding, enrichment, and reconciliation of datasets.
• Monitor data pipelines and workflows to ensure timely and accurate data delivery.
• Triage and resolve data incidents, escalating where necessary and ensuring clear communication with stakeholders.
• Collaborate with data engineers and analysts to ensure smooth data flow and issue resolution.

Project & Change Support

• Contribute to the design and implementation of data governance and quality controls for new data initiatives.
• Participate in data-related workstreams within change projects, such as system migrations, data integrations, and reporting enhancements.
• Assist in defining data requirements, quality rules, and governance standards for new data sources and business processes.
• Ensure governance and quality considerations are embedded in project delivery from the outset.

Stakeholder Collaboration

• Work closely with business users, data stewards, and IT teams to understand data requirements and pain points.
• Act as a liaison between business and technical teams to translate data issues into actionable insights.
• Support the onboarding and training of new data stewards and users on governance tools and practices.

Reporting & Insights

• Generate reports and dashboards to monitor data quality metrics, governance KPIs, and issue resolution trends.
• Provide regular updates to the Data Governance Lead and other stakeholders on data health and improvement initiatives.
• Identify opportunities for continuous improvement in data quality and governance processes.

YOUR PROFILE

• Bachelor’s degree in Information Systems, Data Science, Finance, or related field.
• 2–4 years of experience in data quality, data governance, or operations.
• Experience in the financial asset management industry, with knowledge of portfolio management, trade operations, client reporting, or regulatory reporting.
• Experience in languages such as SQL (Python /XML / YAML / JSON a plus)
• Familiarity with governance tools (e.g., Open Metadata, Collibra, Alation) and quality tools (e.g., Collibra).
• Excellent analytical, problem-solving, and communication skills.
• Exposure to on-premises and cloud databases (e.g., Microsoft SQL Server, PostgreSQL, Snowflake, BigQuery, Azure).
• Enjoy working in a collaborative, team-based environment
• Fluent in English. French a plus

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. Please apply directly through our Career Website.