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Join Jump Trading as a Campus Quantitative Researcher Intern to build predictive models and develop algorithms for automated trading. Ideal for analytical minds from top programs with a passion for learning and programming.
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.
About the Role:
- Build predictive models from big data and develop algorithms to automatically execute trades in dozens of financial exchanges around the world.
- Contribute in a blend of three roles – quant researcher / data scientist, trader, and software developer.
- Participate in a 10-week internship program with training focused on trading, programming, and quant research.
- Help build predictive models and devise automated trading strategies.
Who Should Apply?
- Sharp analytical minds from top undergraduate and graduate programs.
- Uncommon drive to learn and improve, 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.
- Reliable and predictable availability required.
- Training in Computer Science and Mathematics is valued, but exceptional achievements in any technical discipline are welcome.