At a Glance
- Tasks: Design and optimise high-speed trading systems for maximum performance.
- Company: Hudson River Trading, a leader in innovative trading technology.
- Benefits: Competitive salary, performance bonuses, medical coverage, and generous vacation time.
- Other info: Dynamic work environment with opportunities for professional growth.
- Why this job: Join a cutting-edge team and shape the future of trading technology.
- Qualifications: 7+ years experience in Linux and automation with Python.
The predicted salary is between 80000 - 120000 € per year.
Hudson River Trading in Greater London is looking for a Trading Systems Engineer to enhance their Trading Systems Infrastructure. The role involves designing, managing, and optimizing Linux-based trading systems for high throughput and low latency.
The ideal candidate should have 7+ years of experience, expertise in Linux, and proficiency in automation with Python.
Benefits include a competitive salary, performance bonuses, medical coverage, and generous vacation time.
Low-Latency Trading Systems Engineer employer: Hudson River Trading
Hudson River Trading is an exceptional employer, offering a dynamic work environment in Greater London where innovation and collaboration thrive. With a strong focus on employee growth, we provide ample opportunities for professional development alongside competitive salaries, performance bonuses, and comprehensive benefits, ensuring our team members are well-supported both personally and professionally.
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 systems space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve worked on any cool projects related to low-latency systems or automation with Python, make sure to discuss them during interviews. Real-world examples can really impress.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Linux knowledge and coding skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Low-Latency Trading Systems Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Linux and Python, as these are key for the Trading Systems Engineer role. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about low-latency trading systems and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a bit of personality!
Showcase Your Achievements:When detailing your experience, focus on specific achievements rather than just listing responsibilities. We want to know how you've optimised systems or improved performance in previous roles—numbers and results speak volumes!
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’re considered for the role. Plus, it shows you’re keen on joining our team at Hudson River Trading!
How to prepare for a job interview at Hudson River Trading
✨Know Your Linux Inside Out
Make sure you brush up on your Linux skills before the interview. Be prepared to discuss your experience with managing and optimising Linux-based systems, as this is crucial for the role. Think of specific examples where you've improved system performance or reduced latency.
✨Show Off Your Python Skills
Since automation with Python is key, be ready to talk about your projects or scripts that demonstrate your proficiency. If possible, bring along code snippets or examples of how you've used Python to automate tasks in trading systems.
✨Understand Trading Systems Fundamentals
Familiarise yourself with the basics of trading systems and infrastructure. Knowing how high throughput and low latency impact trading can set you apart. Prepare to discuss any relevant experiences or insights you have regarding trading environments.
✨Prepare Questions for Them
Interviews are a two-way street, so think of insightful questions to ask about their trading systems and team dynamics. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
