Internship - GenAI applications in Investment Management

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

• Identify, scope, and prototype GenAI use cases for investment research and portfolio management.
• Collaborate with analysts and portfolio managers to understand their use cases and design AI-enabled solutions.
• Build and test prompt engineering approaches, chat agents, and automation workflows to support the identified use cases.
• Support in developing knowledge bases and structured data integrations for GenAI applications.
• Document findings, create demos, and present solutions to stakeholders.
• Stay updated on GenAI and fintech trends, and assess applicability for Anthos.

Experience Education

• Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Data Science, Finance, Econometrics, or related field.
• Strong interest in investment management and financial markets.
• Familiarity with GenAI tools, large language models, or NLP is highly desirable.
• Experience with Python, Power Platform, or data visualization tools is a plus.
• Curiosity, creativity, and problem-solving mindset.

Skills

• Ability to communicate ideas clearly and concisely.
• Strong analytical and critical thinking abilities.
• Comfortable working both independently and collaboratively.
• Eagerness to learn and experiment with new technologies.
• Fluent in English (Dutch is a plus).

Additional information

• You will report to Head of Data & Technology.
• Valid EU work permit required.
• Adaptable for both office and remote work.
• Duration: 4–6 months (internship or part-time working student arrangement).
• Start date: as soon as possible, Ideally 1 st October 2025.
• Reference checks and a pre-employment screening are a final step of the hiring procedure.

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, veteran or disability status.