Campus Quantitative Researcher (Intern)

Trading Interview; Greater London; On-site; GBP 17,000 - 28,000; Full time

Job summary

Jump Trading Group is offering a 10-week quant research internship designed to expand your quantitative and programming skills. Interns will work with Jump’s trading teams to build predictive models and automated strategies for live markets, under mentorship from experienced researchers and developers.

Participants rotate across teams, gaining exposure to machine learning, market mechanics, and the research process for signal generation.

Qualifications

• Top undergraduate or graduate students with strong analytical and programming skills.
• Interest in quantitative research, signal generation, and trading concepts.

Responsibilities

• Develop predictive models and automated trading strategies during live trading.
• Rotate across trading teams and collaborate with researchers, traders, and developers.

Skills

Machine Learning

C++

Statistics

Data Analysis

Education

Undergraduate or Graduate student

Tools

Python

Git

Job description

About the Role:

The quant research internship is an intensive 10-week program focused on enhancing your quantitative and programming skills, as well as letting you experience what it’s like to be a full-time quant researcher at Jump.

At Jump our 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 – so our internship program is designed to train you in a variety of areas. Topics include 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.

Then you’ll have the opportunity to rotate and work with several trading teams. During each rotation you’ll 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 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. Reliable and predictable availability required.
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, Neuroscience, Materials Science, Operations Research, 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.

Jump Trading Group 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 unique. Constant innovation requires 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.

Jump Trading Group 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…