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.
Core Development is a global team of technologists who architect, build and maintain our world-class trading platform. From optimizing our core trading engine to building custom hardware, we leverage software & hardware engineering, data science and research, to deliver the infrastructure and tools that drive our trading and business needs.
What You'll Do:
- Collaborate with traders to understand business requirements and design technical solutions.
- Design, code, test, deploy and support reliable software applications efficiently to help business grow
- Perform comprehensive testing to ensure accuracy, stability, and minimize financial risk
- Foster a positive working environment and maintain strong relationships within the team
- Other duties as assigned or needed
Skills You’ll Need:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- At least 2 years of experience in python programming, proficient in Python development and Linux environment
- Exceptional problem-solving skills and an analytical mindset, strong ownership
- Detail-oriented with a strong commitment to testing and quality assurance
- Excellent communication and interpersonal skills, with a humble and cooperative attitude
- Team player who values collaboration and shared success
- Reliable and predictable availability
