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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.\nOur trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.\nWhat You'll Do:\nDesign, implement, and optimize trading algorithms\nCollaborate closely with team members to brainstorm, experiment, and execute innovative trading strategies\nPerform comprehensive testing to ensure accuracy, stability, and minimize financial risk\nContinuously improve our trading platform's performance with a focus on resource efficiency and hardware optimization\nFoster a positive working environment and maintain strong relationships within the team\nOther duties as assigned or needed\nSkills You’ll Need:\nBachelor's or Master's degree in Computer Science, Engineering, or a related field\nAt least 5+ years of experience in C++ development, with expertise in algorithmic trading systems\nTrack record of developing, deploying, and maintaining market order execution algorithms\nPeople have 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