At a Glance
- Tasks: Build predictive models and develop algorithms for automated trading in global financial markets.
- Company: Jump Trading, a leader in innovative research and technology in finance.
- Benefits: Private medical, vision and dental insurance, life assurance, and commuter benefits.
- Other info: Comprehensive training program with expert coaching and excellent career growth opportunities.
- Why this job: Join a dynamic team pushing scientific boundaries and making an impact in finance.
- Qualifications: Strong analytical skills in programming or quantitative analysis; no finance experience needed.
The predicted salary is between 29250 - 35750 £ 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 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. 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.
Benefits include:
- Private Medical, Vision and Dental Insurance
- Travel Medical Insurance
- Group Life Assurance and Income Protection Schemes
- Parking and Commuter Benefits
Campus Quantitative Researcher (Full-Time) employer: Trading Interview
Tower Research Capital is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation and rigorous experimentation are at the forefront. Located in a vibrant financial hub, employees benefit from cutting-edge technology and resources, alongside ample opportunities for professional growth and development within the fast-paced world of quantitative trading. Join us to be part of a team that values your contributions and rewards your success in a meaningful way.
StudySmarter Expert Advice🤫
We think this is how you could land Campus Quantitative Researcher (Full-Time)
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We think you need these skills to ace Campus Quantitative Researcher (Full-Time)
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