The role
About the opportunity
Programme: 10 weeks. Training covers machine learning, trading and market mechanics, C++, statistics, and signal generation. Interns then build predictive models and automated trading strategies intended for live trading.
Interns rotate across several trading teams. Each rotation includes a project and mentorship from quantitative researchers, traders, and developers.
What Jump looks for
- Undergraduate or graduate study in a technical field.
- Strong analytical ability.
- Strong programming and/or quantitative skills in statistics, data mining, mathematics, machine learning, or related areas.
- Strong drive to learn and an entrepreneurial mindset.
- Reliable and predictable availability.
No prior finance or trading knowledge is required. Jump also considers strong candidates from fields such as Electrical Engineering, Statistics, Physics, Neuroscience, Materials Science, and Operations Research.
