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- or 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 available starting January/ February 2026 .