Software Engineer | Trading Team
Jump Trading · On-site
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Job details
- Work model
- On-site
- Salary
- Not listed by source
- Location
- Shanghai
- Occupation
- Software Developers(O*NET 15-1252.00)
What the role asks for
What you'd do
- Design, implement, and optimize trading algorithms
- Collaborate closely with team members to brainstorm, experiment, and execute innovative trading strategies
- Perform comprehensive testing to ensure accuracy, stability, and minimize financial risk
- Continuously improve our trading platform's performance with a focus on resource efficiency and hardware optimization
- Foster a positive working environment and maintain strong relationships within the team
- Other duties as assigned or needed
What they're asking for
- Bachelor's or Master's degree in Computer Science, Engineering, or a related fieldEducation
- At least 5+ years of experience in C++ development, with expertise in algorithmic trading systemsExperience
- Track record of developing, deploying, and maintaining market order execution algorithmsSkill
- People have designed/implemented large-scale big data processing/modeling systems on high-performance-computing-cluster etc.Skill
- Exceptional problem-solving skills and an analytical mindsetSkill
- Detail-oriented with a strong commitment to testing and quality assuranceSkill
- Excellent communication and interpersonal skills, with a humble and cooperative attitudeSkill
- Team player who values collaboration and shared successSkill
- Reliable and predictable availabilitySkill
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
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. Our 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. What You'll Do: • Design, implement, and optimize trading algorithms • Collaborate closely with team members to brainstorm, experiment, and execute innovative trading strategies • Perform comprehensive testing to ensure accuracy, stability, and minimize financial risk • Continuously improve our trading platform's performance with a focus on resource efficiency and hardware optimization • 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 5+ years of experience in C++ development, with expertise in algorithmic trading systems • Track record of developing, deploying, and maintaining market order execution algorithms • People have designed/implemented large-scale big data processing/modeling systems on high-performance-computing-cluster etc. • Exceptional problem-solving skills and an analytical mindset • 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
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