Drive Alpha. Predict Venture. Build the Future.

We’re expanding our Quantitative Research Unit at D11Z. Ventures, one of Europe’s largest single-LP Family Office VCs.

We’re looking for a hands-on Quantitative Intern eager to apply AI and quantitative research to the world of Venture Capital.

While this is an open application, we expect the next intake to start in September 2026. Strong candidates are welcome to apply in advance.

If you’re passionate about machine learning, data-driven investing, and startups, this is your opportunity to work at the intersection of tech and finance and help redefine how we generate venture alpha.

Tasks

• Develop and test quantitative models predicting startup success, funding timing, and sector momentum
• Build and validate ML/NLP models using venture and market data
• Create data automation pipelines (e.g. Pipedream, Airflow, custom APIs)
• Evaluate alternative data sources to uncover new alpha signals
• Collaborate with investors to turn data into actionable insights

Requirements

• Master’s student or Gap Year between Bachelor and Master (CS, Physics, Math, or similar)
• Strong skills in Python, ML frameworks (PyTorch, scikit-learn, TensorFlow) and APIs (PostgREST / Supabase REST APIs)
• Solid software engineering and data automation skills
• Familiarity with Pipedream, LangChain, Hugging Face, or Streamlit
• Quantitative mindset and a passion for startups and venture capital
• Good command of both German and English
• Above all: hands-on, curious, builder mindset

Benefits

Why D11Z. Ventures

• Join a quant-first venture team pushing the frontier of data-driven investing
• Work directly on real alpha-generating research
• Flat hierarchy and direct exposure to partners
• Heilbronn-based, flexible hybrid setup
• Duration: 4–6 months

Send your CV and a short note or GitHub/portfolio link showcasing what you’ve built — plus your availability via JOIN.

The position is expected to be available starting September 2026.

D11Z is the venture capital firm of one of Europe's biggest family offices.