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- Tasks: Design and implement low-latency data processing for automated trading systems.
- Company: Dynamic tech startup in London with a collaborative culture.
- Benefits: Competitive salary, bonuses, and various perks.
- Why this job: Join a cutting-edge team and optimise trading platforms for real impact.
- Qualifications: Strong skills in Python, Java, Google Cloud Platform, and API development.
- Other info: Exciting opportunities for career growth in a fast-paced environment.
The predicted salary is between 48000 - 72000 £ per year.
A dynamic technology startup is seeking an experienced developer to join their team in London. This role involves designing and implementing low-latency data processing pipelines for automated trading systems. The ideal candidate will have strong skills in Python and Java, along with experience in Google Cloud Platform and API development.
Key responsibilities include:
- Optimising trading platforms
- Collaborating with quantitative analysts
The company offers a competitive salary, bonuses, and various perks, fostering a collaborative work environment.
Senior Software Engineer - Real-Time Trading (London) employer: White Swan Data
Contact Detail:
White Swan Data Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer - Real-Time Trading (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving low-latency data processing or trading systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and Java skills. Practice coding challenges and be ready to discuss your experience with Google Cloud Platform and API development. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior Software Engineer - Real-Time Trading (London)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and Java in your application. We want to see how you've used these languages in real-world projects, especially if they relate to low-latency data processing or trading systems.
Tailor Your Application: Don’t just send a generic CV! We love it when candidates tailor their applications to the role. Mention specific projects or experiences that align with optimising trading platforms and working with quantitative analysts.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role without wading through unnecessary fluff.
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 us you’re keen on joining our team!
How to prepare for a job interview at White Swan Data
✨Know Your Tech Stack
Make sure you’re well-versed in Python and Java, as these are crucial for the role. Brush up on your knowledge of low-latency data processing and be ready to discuss how you've implemented similar systems in the past.
✨Familiarise with Google Cloud Platform
Since experience with Google Cloud Platform is a must, take some time to review its services and how they can be applied to trading systems. Be prepared to share specific examples of how you've used GCP in previous projects.
✨Collaborate Like a Pro
This role involves working closely with quantitative analysts, so highlight any past experiences where collaboration was key. Think of examples that showcase your ability to communicate technical concepts clearly and work as part of a team.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice coding problems related to optimising trading platforms and be ready to explain your thought process. This will demonstrate your analytical skills and approach to real-time problem-solving.
