QuantCube Technology

1 Job

69 Employees

About the Company

QuantCube analyses billions of alternative data points in real time, using artificial intelligence and big data analytics to deliver insights ahead of the market – giving users an edge in their investment strategies. Today we are the global leader in macroeconomic intelligence nowcasting and in pinpointing macro regime change. Our vision is to become the standard point of reference for macroeconomic, sector, corporate and environmental intelligence. By delivering timely, comprehensive and actionable economic insights we empower users within financial institutions, corporates and public bodies to reach their financial performance and sustainability goals. Headquartered in Paris, QuantCube employs a diverse international team of economists, quant analysts and data scientists with expertise in multilingual NLP, deep learning and machine learning techniques. The company’s shareholders include Moody’s and Caisse des Dépôts and its R&D in computer vision has been partially funded by the European Space Agency (ESA) and French government space agency CNES.

Listed Jobs

Company Name: QuantCube Technology
Job Title: Intern Quantitative Strategist
Job Description: **Job title:** Intern Quantitative Strategist **Role Summary:** Assist in developing and deploying quantitative investment strategies that leverage alternative data (satellite imagery, geolocation, news, etc.). Support the creation of customized financial instruments (indices, structured products, funds) for hedge funds, banks, and asset managers, while analyzing macroeconomic drivers and their market impacts. **Expectations:** - Deliver end‑to‑end projects from data preprocessing to model deployment. - Present analytical findings and strategy performance to senior teams. - Collaborate closely with IT, Data Science, and client partners. **Key Responsibilities:** - Design and implement statistical/Machine‑Learning models (regression to non‑linear) for investment strategies. - Build and refine alternative‑data pipelines (cleaning, feature extraction). - Develop tailored indices, structured products, or fund frameworks in partnership with external stakeholders. - Analyze macroeconomic indicators, evaluate their methodology, and assess market implications. - Write, test, and maintain Python code (pandas, numpy, scikit‑learn, statsmodels, etc.). - Conduct backtesting, performance attribution, and risk analysis. **Required Skills:** - Proficiency in Python programming and related analytics libraries. - Strong quantitative foundation in mathematics, statistics, and econometrics. - Expertise in time‑series analysis and machine‑learning techniques. - Knowledge of financial markets and economic modeling concepts. - Bilingual communication – clear, structured presentation in English and French. - Ability to translate complex analytical insights into actionable recommendations. **Required Education & Certifications:** - Bachelor’s degree or higher in Finance, Economics, Mathematics, Statistics, Data Science, or a related quantitative discipline. - Completion of advanced coursework or certifications in machine‑learning, econometrics, or quantitative finance is preferred.