Campus Quantitative Researcher (Full-Time)
Campus Quantitative Researcher (Full-Time)
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Job Description
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 incentivising 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 organisations and universities to solve problems.
About the Role:
We build predictive models from big data and develop algorithms to automatically execute trades in dozens of 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 later be coached to successfully apply those skills to build predictive models leveraging one of the largest supercomputers in the world and devise automated trading strategies to test in the markets against world-class competition.
May include 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. Well give you the training that youll 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 youll apply.
Benefits include:
- Private Medical Vision and Dental Insurance
- Travel Medical Insurance
- Group Pension Scheme
- Group Life Assurance and Income Protection Schemes
- Paid Parental Leave
- Parking and Commuter Benefits
Employment Type
Full-Time
