Campus Quantitative Researcher (Full-Time)

Jump Trading is looking for a Campus Quantitative Researcher to build predictive models and develop algorithms for automated trading. Ideal for analytical minds from top programs, no prior finance knowledge required. 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.

• •Build predictive models from big data.
• •Develop algorithms to automatically execute trades in financial exchanges.
• •Contribute in a blend of roles: quant researcher, data scientist, trader, and software developer.
• •Complete a training program focused on trading, programming, and quant research.
• •Apply skills to build predictive models and devise automated trading strategies.

• •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.

• •Strong analytical skills from top undergraduate and graduate programs.
• •Drive to learn and improve, entrepreneurial spirit.
• •Skills in programming and/or quantitative analysis (statistics, data mining, mathematics, machine learning).
• •No prior knowledge of finance or trading necessary.
• •Reliable and predictable availability required.