At a Glance
- Tasks: Operate and improve low-latency trading systems for North American equities.
- Company: Global trading firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Join a cutting-edge team and enhance trading workflows in a fast-paced setting.
- Qualifications: Strong Linux and Python skills, plus collaborative mindset.
- Other info: Exciting role with potential for career advancement in finance technology.
The predicted salary is between 42000 - 84000 £ per year.
A global trading firm in Greater London is seeking a Trading Systems Operator to join their low-latency trading desk focusing on North American equities. This technical role involves operating, debugging, and improving latency-sensitive production systems. A strong background in Linux and Python is essential. The successful candidate will work closely with traders and engineers to ensure operational excellence in trading platforms. Collaborative skills and a passion for enhancing workflows are highly valued.
Low-Latency Trading Systems Engineer employer: DRW
Contact Detail:
DRW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Low-Latency Trading Systems Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and tech scene, especially those who work with low-latency systems. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! If you've got experience with Linux and Python, make sure to highlight specific projects or challenges you've tackled. We want to see how you've made an impact in previous roles.
✨Tip Number 3
Prepare for technical interviews by brushing up on your debugging skills. Practice solving latency issues and be ready to discuss your thought process. We love candidates who can think on their feet!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to enhance workflows and collaborate with our team.
We think you need these skills to ace Low-Latency Trading Systems Engineer
Some tips for your application 🫡
Show Your Technical Skills: Make sure to highlight your experience with Linux and Python in your application. We want to see how you've used these skills in real-world scenarios, especially in low-latency environments.
Collaborate and Communicate: Since this role involves working closely with traders and engineers, emphasise your collaborative skills. Share examples of how you've worked in teams to solve problems or improve systems.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specifics of the job description. We love seeing candidates who take the time to align their experiences with what we’re looking for.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at DRW
✨Know Your Tech Inside Out
Make sure you brush up on your Linux and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Trading Environment
Familiarise yourself with low-latency trading concepts and the North American equities market. Being able to speak knowledgeably about current trends or recent news in trading will show your genuine interest in the role.
✨Show Off Your Collaborative Spirit
Since this role involves working closely with traders and engineers, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where teamwork led to improved workflows or problem-solving.
✨Prepare for Problem-Solving Questions
Expect technical questions that test your debugging skills and ability to improve production systems. Practice explaining your thought process clearly, as communication is key in a fast-paced trading environment.