Quantitative Trading Internship
Geneva Trading is a global proprietary trading company that provides capital, technology, high-fidelity data, and professional support for trading teams across multiple asset classes, including digital assets.
About Geneva Trading
Founded in 1999, Geneva Trading operates as a technology-driven principal trading firm with expertise in OTC, algorithmic, discretionary, relative-value, and market-making strategies. Its listed asset classes include energy, metals, fixed income, environmental products, agriculture, equity indices, foreign exchange, and digital assets. The company maintains offices in Chicago, Dublin, and London.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will participate in training on kdb+/q, market microstructure, and trading-strategy development. You will analyze and model trading opportunities using real-world data, build and enhance decision and risk-management tools, solve complex problems with traders and technologists, and present your work to senior leaders.
Requirements
- Be pursuing a bachelor’s, master’s, or PhD degree in a STEM field.
- Graduate between December 2027 and June 2028.
- Have strong Python programming skills or similar language skills.
- Understand statistics, probability, and optimization techniques.
- Have exposure to data-analysis tools such as R, MATLAB, Pandas, or NumPy.
- Understand financial markets, algorithmic trading, and market microstructure.
- Communicate complex ideas clearly.
Responsibilities
- Participate in training on kdb+/q, market microstructure, and trading-strategy development.
- Analyze and model trading opportunities using real-world data.
- Build and enhance tools that support trading decisions and risk management.
- Solve complex trading problems with traders and technologists.
- Present work to senior leaders.
