Quantitative Venture Research Intern

vor 3 Wochen


Munich, Deutschland D11Z Vollzeit

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.



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