Quantitative Venture Research Intern (m/f/d) - Munich

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.TasksDevelop and test quantitative models predicting startup success, funding timing, and sector momentumBuild and validate ML/NLP models using venture and market dataCreate data automation pipelines (e.g. Pipedream, Airflow, custom APIs)Evaluate alternative data sources to uncover new alpha signalsCollaborate with investors to turn data into actionable insightsRequirementsMaster’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 mindsetBenefitsWhy D11Z. VenturesJoin a quant-first venture team pushing the frontier of data-driven investingWork directly on real alpha-generating researchFlat hierarchy and direct exposure to partnersMunich-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.