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Software Engineer | Trading Team

P2P

Singapore

On-site

SGD 80,000 - 120,000

Full time

8 days ago

Job summary

A leading trading and technology firm in Singapore is seeking an experienced C++ Algorithm Developer to design and implement trading algorithms. The ideal candidate has at least 5 years of experience in algorithmic trading systems and strong problem-solving skills. This position emphasizes collaboration and offers an innovative environment. Successful candidates will have a Bachelor's or Master's in Computer Science or Engineering.

Qualifications

  • 5+ years of experience in C++ development, with expertise in algorithmic trading systems.
  • Designed and implemented large-scale big data processing/modeling systems.
  • Exceptional problem-solving skills and detail-oriented.

Responsibilities

  • Design, implement, and optimize trading algorithms.
  • Collaborate with team members on trading strategies.
  • Perform comprehensive testing for accuracy and stability.

Skills

C++ development
Algorithmic trading systems
Big data processing
Problem-solving skills
Analytical mindset
Communication skills

Education

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
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.

Jump Trading established its dedication to the China market with the launch of our Shanghai office in late 2017 with the ambition of building an independently operational office. Due to this ambition, we are growing our competencies in Trading, Technology and Operations. We bring together the best of two worlds; A startup environment powered by Global Jump Trading dedication and resources.

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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