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- Tasks: Enhance a client trading platform and support quantitative researchers in a high-performance environment.
- Company: Leading financial technology firm with a vibrant work culture.
- Benefits: Competitive compensation, extensive annual leave, and robust healthcare benefits.
- Why this job: Join a dynamic team and work with cutting-edge technologies like F#, Python, and Kubernetes.
- Qualifications: Experience in software engineering and familiarity with distributed systems.
- Other info: Great opportunity for career growth in a fast-paced industry.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial technology firm seeks a Software Engineer in Realtime Quant Frameworks to enhance a systematic client trading platform. You will support quantitative researchers in a high-performance system environment, working with technologies such as F#, Python, and Kubernetes.
This role offers competitive compensation, a vibrant work culture, extensive annual leave, and robust healthcare benefits, making it an attractive opportunity for skilled software engineers.
Realtime Quant Frameworks Engineer - Distributed Systems in London employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Realtime Quant Frameworks Engineer - Distributed Systems in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with F#, Python, or Kubernetes. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a GitHub repo showcasing your projects related to quantitative frameworks or distributed systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design knowledge. Practice common algorithms and data structures, and don’t forget to review distributed systems concepts!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Realtime Quant Frameworks Engineer - Distributed Systems in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with F#, Python, and Kubernetes. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Realtime Quant Frameworks Engineer position and how you can contribute to our systematic client trading platform.
Showcase Your Problem-Solving Skills: In the world of high-performance systems, problem-solving is key. Share examples in your application that demonstrate your ability to tackle complex challenges, especially in a distributed systems environment.
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 this exciting opportunity in our vibrant work culture!
How to prepare for a job interview at G-Research
✨Know Your Tech Stack
Make sure you’re well-versed in F#, Python, and Kubernetes. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Understand the Financial Context
Since this role is within a financial technology firm, it’s crucial to have a grasp of the trading environment. Familiarise yourself with systematic trading concepts and how quantitative research impacts trading strategies. This will help you connect your technical skills to the business needs.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice coding problems and system design scenarios that relate to distributed systems. Being able to articulate your thought process while solving these problems will impress your interviewers.
✨Showcase Your Team Spirit
This role involves supporting quantitative researchers, so highlight your collaborative experiences. Share examples of how you’ve worked in teams, resolved conflicts, or contributed to group projects. A vibrant work culture thrives on teamwork, and showing you fit into that will be a big plus.
