Hybrid Java Developer for Low-Latency Quant Trading in London

Hybrid Java Developer for Low-Latency Quant Trading in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Grand Arcade

At a Glance

  • Tasks: Develop low-latency trading applications and build high-performance frameworks.
  • Company: Deutsche Bank, a leading global bank with a focus on innovation.
  • Benefits: Hybrid working model, competitive salary, and comprehensive benefits.
  • Other info: Collaborate with quants, traders, and engineers in a Unix/Linux environment.
  • Why this job: Join a dynamic team and make an impact in the fast-paced world of trading.
  • Qualifications: Strong Java skills and experience in modern software practices.

The predicted salary is between 60000 - 80000 Β£ per year.

Deutsche Bank in London is seeking a Quantitative Trading Engineer to develop low-latency trading applications for Repo and Rates.

You will build high-performance frameworks and work closely with quants, traders and engineers in a Unix/Linux setting.

The role emphasizes excellent Java skills, modern software practices, and the ability to iterate quickly and safely.

A hybrid working model, competitive salary, and comprehensive benefits accompany the position.

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Hybrid Java Developer for Low-Latency Quant Trading in London employer: Grand Arcade

Grand Arcade is an excellent employer that values flexibility and inclusivity, offering a unique opportunity for individuals to earn up to Β£700 per week from the comfort of their own homes. With no prior experience required, the company fosters a supportive work culture that encourages personal growth and development through engaging market research activities. Join us to be part of a dynamic team where your voice matters and your contributions are rewarded.

Grand Arcade

Contact Details:

Grand Arcade Recruitment Team

We think you need these skills to ace Hybrid Java Developer for Low-Latency Quant Trading in London

Java
Low-Latency Trading Applications
Quantitative Trading Engineering
High-Performance Frameworks
Unix/Linux
Modern Software Practices
Collaboration with Quants