Trading Research Intern

Company Description Limex is a fintech company founded by former Wall Street quantitative researchers to help close the infrastructure gap between institutional and retail trading capabilities.The company's AI-powered platform gives algorithmic traders, quantitative researchers, and sophisticated retail investors access to institutional-grade trading tools that were once available mainly to major financial firms. Limex focuses on democratizing professional trading technology so independent traders can research, test, and improve their strategies more effectively.Joining Limex means contributing to a technology-first environment focused on innovation, data-driven decision-making, and advanced trading research. Role DescriptionThis is a remote paid internship for a Trading Research Intern.In this role, you will support the research and development of systematic trading strategies. You may help gather and clean market data, run simulations, evaluate strategy performance, test trading hypotheses, and document research findings.You will work with experienced quants and product team members to translate trading insights into clear, practical recommendations. The internship will also involve reviewing strategy workflows, assisting with backtesting processes, monitoring strategy behavior, and helping identify potential new data sources or market signals. You may also contribute to internal research notes, presentations, and knowledge-sharing materials that support future trading and product decisions. Responsibilities • Support research on systematic and AI-assisted trading strategies • Gather, clean, and analyze financial market data • Help test trading hypotheses and evaluate strategy performance • Assist with simulations, backtesting, and research documentation • Translate quantitative findings into clear insights for the team • Review trading workflows and suggest potential improvements • Contribute to internal reports, presentations, and research materials Qualifications • Strong quantitative and analytical skills • Basic knowledge of probability, statistics, or time-series analysis • Familiarity with Python and common data analysis libraries • Ability to work with financial market data, including cleaning and exploratory analysis • Clear written and verbal communication skills • Self-directed, organized, and comfortable working remotely • Current enrollment in or recent completion of a degree in Mathematics, Statistics, Computer Science, Engineering, Finance, Economics, or a related quantitative field • Interest in algorithmic trading, market microstructure, systematic strategies, or AI-assisted trading workflows Preferred • Prior exposure to trading, investment research, or quantitative finance • Basic experience with backtesting, simulations, or trading platforms • Familiarity with Git or basic software development practices • Understanding of risk management, position sizing, or portfolio construction