Quantitative Researcher

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 incenting 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.

Jump Crypto, the crypto division of Jump Trading Group, is committed to building and standing up critical infrastructure needed to catalyze the growth of the crypto ecosystem. We're builders, partners, and traders who take a long-term view of crypto's prospects and operate to unlock the full potential of open, community-driven networks. Since our inception as a skunkworks intern project in late 2015, we've grown into a dynamic and seasoned team of high performing players across a range of functions. Today, we play an important role in the development of some of the largest and most innovative crypto communities.

Jump Crypto seeks Quantitative Researcher I at its facility located at 600 West Chicago Avenue, Ste 600, Chicago, IL 60654. Responsible for conducting research for the purpose of modeling trends in the crypto market. Responsible for building and maintaining high performance trading applications, ranging from front-end applications that assist researchers to black-box systems that trade a variety of markets. Develop and test risk management methodologies, analyze exposures using stress testing and back simulations. Research new methods for capturing risk exposure and evaluate risk/reward and performance attribution across multiple crypto related products; utilizing python and other software and systems to build and augment current trading strategies. Build and expand current revenue base by developing and exploring new opportunities. Manage and implement capital markets and investment strategies. Execute prototyping for large volume trading evaluation of market data.

Requirements: This position requires a bachelor’s degree, or foreign equivalent in Mathematics, Computer Science, or a related quantitative field.

Additionally, the applicant must have experience with:

• C and Python in a Linux setting
• Conducting statistical analysis and machine learning on complex datasets
• Solving probability, linear algebra problems; and
• Using finance-related statistical methods in a crypto setting. 

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