We’re expanding our Quantitative Research Unit at D11Z. 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.
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. Evaluate alternative data sources to uncover new alpha signals
Collaborate with investors to turn data into actionable insights
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
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
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