Student Support in AI Solution Engineering

Job Description
 

In the role as Student Support in the AI Solution Engineering team you will take care of the following tasks:

• Developing, testing and delivering AI/ML solutions according to business needs;

• Further developing our proprietary AI platform with regard to backend and frontend components, as well as business-driven use cases;

• Extracting business requirements and creating specifications required to deliver AI/ML solutions as a bridge between businesses and technology teams;

• Collaborating and communicating between the business and technology teams;

• Developing and using applications along extract, transform and load (ETL) processes;

• Integrating data from multiple sources, including internal and external systems, to create comprehensive data sets;

• Supporting business process re-design and simplification using data & technologies;

• Producing training materials and training business users in using the tools;

• Actively support and share knowledge across the extended Data & Analytics team.

Requirements

Mandatory requirements:

• Bachelor’s or master’s degree in computer science, data science, information technology, artificial intelligence, engineering, mathematics, statistics or any other STEM degree;

• Strong knowledge and experience with the common data science tech stack, including Python, SQL, PyTorch/TensorFlow, Scikit-Learn, Transformers, NumPy etc.;

• General knowledge from traditional ML methods up to generative AI models (LLMs);

• First professional experiences from prior internships, working student roles or research activities;

• Proven experience in implementing AI/ML solutions, either from university, professional experience or personal projects (feel free to provide any references, e.g. through GitHub);

• Interest in and strong affinity with technology and a particular focus on AI/ML;

• Excellent analytical and technical skills and attention to detail;

• Great team player and ability to work collaboratively at various levels of the organization;

• Motivation to work at the intersection of technology, research and business;

• Self-motivated, proactive, takes ownership and uses initiative;

• Fluency in English.

Optional requirements:

• Experience in frontend development, preferably React/TypeScript;

• Experience with modern cloud data toolsets, preferably Azure;

• General knowledge about financial markets, preferably private markets;

• German knowledge.

Kindly note: visa sponsorship is not offered for this role.

Please upload your complete application documents in English: CV, motivation letter, diplomas, transcripts of your degree(s) and your reference letters.

Benefits

• Home Office: after the successful introduction period you will have the option to work a maximum of 40% of your time from home in Switzerland. Additionally you get a Home Office allowance;

• We encourage the use of public transportation and support you with a discounted ZVV Bonus Pass or a contribution to the SBB Generalabonnement;

• The LGT Sports club offers various activities such as a running club, outdoor workouts, and participation in sports events;

• A diverse culture full of mutual respect, teamwork and appreciation awaits you at LGT Capital Partners – as a global firm, LGT Capital Partners continues to evolve and expand the focus of our diversity, equity and inclusion trainings and initiatives;

• We‘re proud to be owned by the Princely family of Liechtenstein and our successful company is greatly inspired by their entrepreneurial attitude;

• Commitment to ESG since 2003: we believe that a long-term approach, coupled with a strong focus on environmental, social and governance (ESG) principles, is essential to achieve sustained success. We seek to operate sustainably in our investments, as an employer, in the community and in our own operations.

Contact Information
 

If you are interested in becoming an integral part of a successful alternative investment management team in an international, multicultural working environment we will be pleased to get to know you soon.
For further information please contact us.

Alexandra Hohermuth

Human Resources

LGT Capital Partners AG, Pfaeffikon

Contact:

+41 58 261 86 62