As a Quantitative intern, you will play a crucial role in supporting Millennium's investment strategies through data analysis, model development, and close collaboration with our Quant professionals. Your analytical skills, programming expertise, and financial knowledge will be utilized to address real-world challenges.We're seeking interns pursuing advanced degrees in a quantitative discipline such as Financial Engineering, Quantitative and Computational Finance, Statistics, Physics, or Applied Mathematics. Interns will be hired across various functions within the Firm, including Equities, Fixed Income, Commodities, Execution Trading, Risk Management, Technology, and Portfolio Valuations. Through the application process, interns are evaluated for specific roles within the domains of Quantitative Researcher and Quantitative Developer.Quantitative Researcher:Data Analysis: Explore and analyze a vast array of datasets, including both market data from asset trading and alternative data from other aspects of the economy using machine learning/statistical/applied math/econometric techniques.Alpha Generation: Conduct research to generate alpha signals and identify new trading opportunities.Strategy Backtesting: Perform back testing of strategies to evaluate their performance and robustness.Tool Development: Build broad set of research tools ranging from data acquisition/normalization libraries to backtesters and portfolio optimizers.Quantitative Developer:System Development: Design, develop and maintain robust and scalable quantitative tools and systems.Application Development: Create applications to analyze profitability and risks of trading strategies.Research Tools: Develop a broad set of research tools for systematic portfolio managers ranging from data acquisition/normalization libraries to backtesters and portfolio optimizers.Workflow Management: Create and modify technology workflows for trade processing and risk management.Qualifications:Academic Excellence: 2:1 average and above.Degree: Pursuing a Bachelors or Master's degree in a technical or quantitative discipline; such as Financial Engineering, Quantitative and Computational Finance, Statistics, Applied Mathematics, Physics, Computer Engineering, Computer Science, Operations Research, Data Science, Engineering etc.Graduating between December 2026 and June 2027.Programming Proficiency: Demonstrated proficiency in at least Python or C++.Technical Knowledge: Understanding of Data Structures and Algorithms.Research Experience: Experience performing an in-depth research project examining real-world data.Methodological Expertise: Solid understanding of statistical and machine learning techniques.Candidates should have authorization to work in Ireland. This position does not offer sponsorship.