Jump Trading jobs, judged for you, free
A global quantitative trading firm across every asset class and time horizon.
- Fintech & Payments
- Chicago, United States
- 1,001–10,000 people
- Private
Newest at Jump Trading.
- Workplace Experience CoordinatorHong Kong
- Travel ManagerChicago, New York
- Technical Project ManagerChicago
- Talent Acquisition CoordinatorHong Kong
- Software Engineer (UI)Chicago
- Software Engineer | Trading TeamShanghai
- Software Engineer | GUIChicago
- Site Reliability EngineerChicago, New York
- Site Reliability EngineerSingapore
- Senior Software EngineerSingapore, Hong Kong, Shanghai
- Research Scientist/Research Engineer | Deep LearningChicago, New York, London
- Research Engineer – AI AgentsSingapore
- Reconciliation Manager | FinanceGIFT City
- Quantitative Trader | Trading TeamSingapore
And 72 more open at Jump Trading.
See them all, freeThe company, in brief.
What they do
Jump Trading is a 25-year-old global trading firm. Its strategies cover every asset class and time horizon, from high-frequency trading to statistical arbitrage (bets on price patterns) and discretionary macro (bets on the economy). Jump builds its own hardware, networks, and research data centers. It funds start-ups and works with universities. Its network includes Jump Crypto and Jump Capital.
What they value
- Fearlessness, creativity, and intellectual honesty.
- A relentless competitive streak and an obsessive drive to win.
- Winning together, through collaboration and mutual respect.
- A flat structure that keeps decisions fast.
- Autonomy, speed, and trust, with ownership from the first day.
- Curiosity and a love of hard problems.
Where they hire
Most roles are in Chicago, London, Hong Kong, Singapore, New York, and Shanghai. Others are in Amsterdam, Sydney, Mumbai, GIFT City (India), Paris, and Bristol. No role is remote. Many campus postings encourage international students and say that Jump sponsors work visas for full-time positions. US internships accept students on CPT or OPT, which let students work in the US.
Teams and roles
Of the 92 open roles, 38 are campus roles: 28 internships and 10 full-time roles for new graduates. Front Office has 43 roles, IT Infrastructure 22, Core Development 13, and Operations 11.
- Trading teams: quantitative researchers, traders, and developers work together on trading strategies, in Europe, Asia, and the US.
- AI and deep learning: research scientists and engineers in Chicago, New York, London, and Asia. A Singapore engineer builds AI agents.
- High Performance Computing: HPC systems and operations engineers in Chicago, London, Sydney, and Mumbai run compute and storage for research.
- Infrastructure: site reliability engineers, a network engineer in Mumbai, a wireless network engineer, and a data center technician.
- Core Development: Python and C++ software engineers in Asia, post-trade analytics in Hong Kong, and a verification engineer in Bristol.
- Finance and HR: reconciliation roles in GIFT City, an accounting analyst for digital assets, and HR roles in Hong Kong, Singapore, and the US.
All US postings give a pay range. A campus quantitative researcher intern has an estimated base salary of $300,000 a year. A deep learning research scientist role pays $200,000 to $350,000.
What they look for
Many campus roles look for the sharpest analytical minds from top programs. They ask for skills in computer science, machine learning, statistics, and mathematics, a competitive spirit, and an interest in markets. Quantitative researcher roles ask for C++ or Python in Linux, and statistical models in a trading environment. Most of them ask for a master's degree or PhD in statistics, physics, or mathematics.
Most experienced engineering roles ask for five or more years. C++ software roles in London and Shanghai ask for five or more years of C++. HPC roles ask for Linux administration and batch systems such as Slurm. Site reliability roles ask for Python, and some for Go or shell scripting. Jump's frameworks use C++, Python, Go, and Rust. Almost every posting asks for reliable and predictable availability.
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