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.

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
• Munich-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 available starting January/ February 2026.