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 skillsFamiliarity with Pipedream, LangChain, Hugging Face, or StreamlitQuantitative mindset and a passion for startups and venture capitalGood command of both German and EnglishAbove all : hands-on, curious, builder mindsetBenefits
Why D11Z. Ventures
Join a quant-first venture team pushing the frontier of data-driven investingWork directly on real alpha-generating researchFlat hierarchy and direct exposure to partnersHeilbronn-based , flexible hybrid setupDuration : 4–6 monthsSend 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 .
D11Z is the venture capital firm of one of Europe's biggest family offices.