We build predictive models from big data and develop algorithms to automatically execute trades in financial exchanges around the world.
At Jump you will have the opportunity to contribute in a blend of three roles – quant researcher / data scientist, trader, and software developer – based on your incoming skills and background, interest and curiosity, and the new skills and industry knowledge that you will learn at Jump.
You will start by completing a training program focused on enhancing your knowledge of trading, programming, and quant research. The training consists of in-house courses and trading simulation developed and delivered by experienced quant researchers, traders, and developers. We have experts from around the firm who will teach you advanced skills in a variety of areas such as trading / market mechanics, statistics, R, python, C++, machine learning, and our research process.
You will be mentored in successfully applying those skills to build predictive models, leveraging one of the largest supercomputers in the world, and devising automated trading strategies to test in the markets against world-class competition.
Other duties as assigned or needed.
We are seeking the sharpest analytical minds from top undergraduate and graduate programs. Ideal candidates have an uncommon drive to learn and improve, an entrepreneurial spirit, and strong skills in programming and/or quantitative analysis (statistics, data mining, mathematics, machine learning, etc.).
No prior knowledge of finance or trading is necessary. We’ll give you the training that you’ll need.
Although we strongly value training in Computer Science and Mathematics, we are excited to meet people with exceptional achievements in any technical discipline. Recent hires include students from fields such as Electrical Engineering, Statistics, Physics, Operations Research, Neuroscience, Materials Science, and more.
Machine Learning (ML) and Large Language Model expertise (LLM) is highly desired.
If you have outstanding skills in math and programming and you are curious about the challenge of improving research with continuous feedback from competitive markets, we hope you’ll apply.
Reliable and predictable availability required.
