Senior Sustainability Quantitative 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 Core Investment team, we are looking for a:

Senior Sustainability Quantitative Analyst

We are seeking a highly motivated Senior Sustainability Quantitative Analyst to lead the development and enhancement of proprietary sustainability research frameworks and analytical models. The role sits at the intersection of sustainability, quantitative research, and investment innovation, playing a critical role in delivering differentiated insights that address evolving client needs and support investment decision-making.

As a key partner to investment teams, clients, regulators, and external stakeholders, the successful candidate will help advance the firm's sustainability capabilities by integrating climate, biodiversity, nature-related, and broader sustainability considerations into research, portfolio construction, risk management, stewardship activities, and product innovation.

The ideal candidate combines deep expertise in sustainability topics, particularly climate transition, carbon emissions, biodiversity, and nature-related risks, with strong quantitative, data science, and programming skills.

YOUR ROLE

• Lead the development and continuous enhancement of the firm's proprietary sustainability research frameworks and analytics.
• Develop and refine quantitative methodologies, including Implied Temperature Rise (ITR) models and other climate- and nature-related indicators.
• Design, test, and maintain proprietary sustainability signals, scores, metrics, and investment models.
• Evaluate, integrate, and monitor data from external sustainability, climate, and biodiversity data providers.
• Ensure the quality, consistency, governance, and robustness of sustainability datasets and analytical outputs.
• Conduct research on emerging sustainability topics, regulatory developments, and industry best practices.
• Collaborate closely with portfolio managers, quantitative researchers, and investment teams to translate sustainability research into actionable investment insights.
• Support the integration of sustainability considerations into investment processes, portfolio management, and risk frameworks.
• Partner with engineering and technology teams to enhance the data infrastructure supporting climate, emissions, biodiversity, and nature-related analytics.
• Engage with clients and prospects to communicate the firm's sustainability research, methodologies, and investment approach.
• Represent the firm externally in client meetings, industry initiatives, conferences, and regulatory discussions.
• Contribute to the evolution of the firm's responsible investment and sustainability strategy.
• Provide thought leadership on sustainability-related investment topics and lead the sustainability research agenda.

YOUR PROFILE

• 7+ years of experience in asset management, sustainable investing, ESG research, quantitative research, or a related field.
• Demonstrated expertise in climate transition analysis, carbon emissions data, biodiversity, nature-related risks, and sustainable investing.
• Proven experience developing analytical frameworks and quantitative models for investment applications.
• Advanced degree in a quantitative discipline such as Mathematics, Physics, Engineering, Data Science, Statistics, Quantitative Finance, Economics, or a related field.
• Strong programming skills, particularly in Python and modern data analysis libraries.
• Experience working with large and complex datasets, data pipelines, and sustainability data providers.
• Solid understanding of financial markets, portfolio construction, risk management, and investment processes.
• Familiarity with key sustainability frameworks and standards, including TCFD, TNFD, PCAF, SFDR, EU Taxonomy, and Net Zero initiatives, is advantageous.
• Strong analytical thinking and problem-solving capabilities.
• Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical audiences.
• Ability to collaborate effectively across research, investment, data, technology, and client-facing teams.
• Fluent in French and English.
• Based in Geneva or willing to relocate.

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.