At a Glance
- Tasks: Enhance your quantitative and programming skills while developing predictive models and trading strategies.
- Company: Join Jump Trading, a leader in innovative financial research and technology.
- Benefits: Intensive training, mentorship from experts, and hands-on experience in trading teams.
- Other info: Dynamic internship with opportunities to rotate across various trading teams.
- Why this job: Make an impact in global financial markets with cutting-edge research and technology.
- Qualifications: Strong analytical skills, programming experience, and a passion for learning.
The predicted salary is between 20000 - 30000 £ per year.
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 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.
About the Role
The quant research & trading 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 trader 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 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 / 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.
Campus Quantitative Trader (Intern) in London employer: Jump Trading
Jump Trading is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for aspiring quantitative traders. With a focus on empowering talent through intensive training and mentorship, interns will gain hands-on experience in developing predictive models and automated trading strategies while working alongside industry experts. Located in a dynamic environment, Jump offers unique opportunities for personal and professional growth, ensuring that every team member can thrive and contribute to groundbreaking research in financial markets.
