Campus Quantitative Researcher – Intern

Confirmed live in the last 24 hours

1,001-5,000 employees

Proprietary trading firm focused on algorithmic & high-frequency trading

Company Overview

Jump Trading's mission is to leverage its petaflops of computing power and petabytes of data to carefully analyze and identify trends in the global markets across all asset classes.

Quantitative Finance

Financial Services

Data & Analytics

Company Stage

N/A

Total Funding

$300M

Founded

1999

Headquarters

Chicago, Illinois

Growth & Insights

Headcount

6 month growth

↑ 3%

1 year growth

↑ 9%

2 year growth

↑ 24%

Locations

London, UK

Experience Level

Intern

Desired Skills

Operations Research

CategoriesNew

Quantitative Finance

Requirements

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

Responsibilities

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 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 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

Quantitative Research / Algorithmic Trading Internship (London)

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 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 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.