Drive Alpha. Predict Venture. Build the Future.
Were expanding our Quantitative Research Unit at D11Z. Ventures one of Europes largest single-LP Family Office VCs.
Were looking for a hands-on Quantitative Intern eager to apply AI and quantitative research to the world of Venture Capital.
If youre 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
- Masters 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
- Heilbronn-based flexible hybrid setup
- Duration: 46 months
Send your CV and a short note or GitHub/portfolio link showcasing what youve built plus your availability via JOIN.
The position is available starting January/ February 2026.
Drive Alpha. Predict Venture. Build the Future.Were expanding our Quantitative Research Unit at D11Z. Ventures one of Europes largest single-LP Family Office VCs.Were looking for a hands-on Quantitative Intern eager to apply AI and quantitative research to the world of Venture Capital.If youre passi...
Drive Alpha. Predict Venture. Build the Future.
Were expanding our Quantitative Research Unit at D11Z. Ventures one of Europes largest single-LP Family Office VCs.
Were looking for a hands-on Quantitative Intern eager to apply AI and quantitative research to the world of Venture Capital.
If youre 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
- Masters 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
- Heilbronn-based flexible hybrid setup
- Duration: 46 months
Send your CV and a short note or GitHub/portfolio link showcasing what youve built plus your availability via JOIN.
The position is available starting January/ February 2026.
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