Job Description
A career at the Lombard Odier Group is something to be proud of. Our mission is to protect and grow our clients’ wealth - but not by any means necessary. Sustainability is at the heart of everything we do and we treat our clients’ wealth as if it were our own. We protect our clients’ assets for the long-term using expertise and innovation, all underpinned by our Rethink Everything philosophy. Our colleagues are the foundation of our success. We employ people at different life stages, from graduates to executive level leaders. The one thing they all have in common is that they seek to challenge the status quo, are imaginative and have the ability to offer a fresh perspective.
At Lombard Odier, sustainability is our core philosophy. Representing the next economic revolution, it is our conviction that sustainable investing is the way to generate long-term returns and grow our clients' prosperity in perpetuity. Sustainability, via the transition to a circular, lean, inclusive and clean (CLICTM) economic model, is therefore central to Lombard Odier’s approach to its business and investment philosophy. We believe this ‘sustainability revolution’ has already become one of the most important drivers of risk-adjusted returns today. Will you be part of it?
Lombard Odier Investment Managers (“LOIM”) is the asset management business of the Lombard Odier Group. In order to strengthen our technology team, we are looking for a:
Machine Learning Ops Engineer – Internship
(6-9 months)
About the role
You will join a global business of more than 120 investment professionals and a network of 13 offices across Europe, Asia and North America. Our technology team works directly and closely with the Business. Our IT ecosystem is based on state-of-the-art tools from leading financial software providers. In addition to this, we develop our own solutions using agile development and DevOps techniques. You will report to the head of IT development based in Geneva and contribute to our AI/ML initiatives.
How will you make an impact at LOIM
In this role, your main responsibilities will include the following :
- Collaborate with Data Scientists and AI Specialists from multiple business units.
- Assist the team in designing and implementing a unified research platform for AI.
- Optimize and streamline AI models.
- Analyze and specify the infrastructure requirements.
The skills you will demonstrate
- University degree in computer science, finance or equivalent.
- Proficiency with Python or other scripting languages.
- Knowledge of Kubernetes, containerization and distributed computing a plus.
- Familiarity with MLOps/DevOps tools and techniques a plus.
- Experience with Linux and Shell scripting a plus.
- Exposure to the Finance industry through internships or academic classes a plus.
Why join us
You will join a highly collaborative, multicultural, entrepreneurial and passionate team. We are committed to providing employees a stimulating work environment where creativity and innovation are encouraged for improving business opportunity and effectiveness.
We offer diverse and high-quality training program, competitive benefits and great career opportunities.
LOIM is an equal opportunity employer
We are committed to creating a diverse and inclusive work environment, where talented people inspire the organization with a diversity of thought, background, experience and identity to reinforce our innovation and deliver excellence. We firmly believe this is how we will continue to thrive. To deliver on this, we have actively embedded Diversity & Inclusion in our business strategy.
If you recognise yourself in this description, then please do apply. We look forward to hearing from you.
About Lombard Odier & Cie
We aspire to be an innovative bank of choice for private and institutional clients seeking a tailored, sustainable approach to wealth and asset management. Founded in 1796, we have served our clients for seven generations, guided by a simple philosophy: ‘rethink everything’. As a result, we’ve grown stronger through 40 financial crises, not by standing still and waiting for them to pass, but by re-evaluating and rethinking the world around us.
Our group is solid and strongly capitalised, with a highly liquid balance sheet that is conservatively invested. Our capital ratio is more than double the level required by our regulators and we do not rely on external sources of debt. Today, we look after CHF 352bn of total client assets (as of 30 June 2021).