Campus Quantitative Trader (Intern)

About Jump Trading

Jump Trading is committed to world-class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting-edge research to global financial markets. Our culture is defined by constant innovation, requiring fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect.

At Jump, research outcomes drive more than superior risk-adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

About the Role

The Quant Research & Trading Internship is an intensive 10-week program focused on enhancing your quantitative and programming skills and giving you insight into what it is like to be a full-time quant trader at Jump.

Internship Overview

At Jump, people can contribute to trading teams in the following roles, or a blend of all three: quantitative researcher/data scientist, algorithmic trader, and software developer. The internship program is designed to train you in a variety of areas, including machine learning, trading/market mechanics, C++, statistics, and our research process for signal generation.

Applying lessons from training, you will first work with fellow interns to develop your own predictive models and automated trading strategies for live trading.

You will then have the opportunity to rotate and work with several trading teams. During each rotation, you will work on a project with the trading team while being mentored by experienced quant researchers, traders, and developers. Other duties as assigned or needed.

Who Should Apply

We are seeking sharp 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 will provide the training you need.
• Reliable and predictable availability is required.

Although we strongly value training in Computer Science and/or 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, Neuroscience, Materials Science, Operations Research, Economics, Econometrics, and more.

If you have outstanding skills in math and programming and you are curious about the challenge of improving research with daily feedback from competitive markets, we hope you’ll apply.