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- Tasks: Build and optimise trading systems using Python in a fast-paced environment.
- Company: Leading financial technology firm with a focus on innovation.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in electronic trading.
- Qualifications: Proven quantitative development experience and strong Python skills required.
- Other info: Experience with Kafka, Docker, and Kubernetes is a plus.
The predicted salary is between 43200 - 72000 £ per year.
A leading financial technology firm is seeking a Senior Quant Developer (Python) to join their fully remote team. You will be responsible for building and optimizing trading systems across a variety of asset classes, ensuring high performance and reliability in a fast-paced trading environment.
The ideal candidate should have a proven background in quantitative development and strong Python skills, with experience in tools like Kafka, Docker, and Kubernetes.
Join a dynamic team committed to innovation in electronic trading.
Remote Senior Quant Developer (Python) — Trading Systems employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Senior Quant Developer (Python) — Trading Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the trading systems space on LinkedIn or relevant forums. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to trading systems. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on quantitative development concepts and tools like Kafka, Docker, and Kubernetes. Practice coding challenges to keep your skills sharp!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Remote Senior Quant Developer (Python) — Trading Systems
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used Python in previous projects, especially in quantitative development and trading systems.
Quantitative Development Experience Matters: Don’t forget to showcase your background in quantitative development. Share specific examples of how you've built or optimised trading systems, as this is key for us in the selection process.
Familiarity with Tools is a Plus: If you’ve worked with tools like Kafka, Docker, or Kubernetes, let us know! Mentioning these will give you an edge, as they’re important for the role we’re looking to fill.
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 updates from our team!
How to prepare for a job interview at Hunter Bond
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your previous projects and how you've used Python to solve complex problems, especially in trading systems. Practising coding challenges can also help you demonstrate your proficiency.
✨Familiarise Yourself with Trading Systems
Since you'll be working on trading systems, it's crucial to understand how they operate. Research different asset classes and the specific challenges they present. This knowledge will not only impress your interviewers but also help you answer technical questions more effectively.
✨Showcase Your Experience with Tools
Highlight your experience with tools like Kafka, Docker, and Kubernetes during the interview. Be prepared to discuss how you've used these technologies in past projects and how they contributed to the performance and reliability of the systems you developed.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in a fast-paced environment. Think about past experiences where you had to optimise a system under pressure and be ready to explain your thought process and the outcomes.