Organisation
Established almost 100 years ago to manage capital for the Brenninkmeijer family, Anthos Fund & Asset Management (AFAM) has provided comprehensive values-based asset management and investment advisory services in numerous asset classes to the family, their philanthropies and pension funds of group entities.
Clients benefit from tailored expert management across equities, fixed income, real estate, private equity, alternative investments and on an overall portfolio level.
Based on a tradition of purpose, excellence, collaboration, client focus and passion, AFAM’s approach has a long-term track record of outperforming benchmarks while contributing to the common good. AFAM is a signatory to the UN Principles for Responsible Investment, has a long track record in the field of impact investing and has responsible investing embedded across its investment process.
AFAM is part of the COFRA holding. Family-owned for six generations, COFRA is united around a common mission – to amaze customers and be a force for good. The enterprise cares deeply about people and the communities it serves, striving to have a lasting positive impact on society and the environment. More information can be found on: https://www.anthosam.com/
Purpose of the job
As an GenAI Intern, you will join the Data & Technology (D&T) department to explore and implement generative AI applications in the investment management value chain. You will collaborate closely with portfolio managers, analysts, client servicing teams to co-create solutions that enhance investment research, client reporting, and decision-making through innovative AI technologies. This is a unique opportunity to gain hands-on experience at the intersection of finance, data, and cutting-edge AI, while contributing to Anthos’ mission of long-term, values-based asset management.
The Team
Data & Technology is a dynamic and highly motivated team dedicated to developing an innovative and purpose driven digital asset management ecosystem. Our team is comprised of individuals with diverse backgrounds, cultures, and a wide array of skills and experience, spanning across Data Engineering, Data Analytics (BI, AI, GenAI), Digital, and Client Reporting.
Key Responsibilities
Experience & Education
Skills
Additional information
We are an equal opportunity employer. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, or disability status.