The role
About the opportunity
Training
In-house training covers trading and market mechanics, statistics, R, Python, C++, machine learning, and the research process used to generate signals.
What you will do
- Build predictive models from large datasets.
- Develop algorithms that execute trades automatically across global exchanges.
- Test research ideas using Jump's computing resources.
- Work across quantitative research, data science, algorithmic trading, and software development as needed.
What Jump looks for
- Undergraduate or graduate study in a technical field.
- Strong analytical, mathematical, and programming ability.
- 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.
