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- Tasks: Ensure high performance and efficiency in automated trading platforms.
- Company: Leading financial technology company based in London.
- Benefits: Competitive pay, generous leave, healthcare, and pension scheme.
- Why this job: Join a dynamic team and support innovative quantitative research.
- Qualifications: Experience in software engineering with F# and Python.
- Other info: Exciting opportunities for growth in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A financial technology company in London is seeking a Software Engineer for Realtime Quant Frameworks to ensure high performance and efficiency across their automated trading platform. The ideal candidate will have strong experience in software engineering, particularly with languages such as F# and Python, and possess problem-solving skills to support quantitative researchers.
This role offers competitive compensation, generous annual leave, and comprehensive benefits including healthcare and a pension scheme.
Realtime Quant Frameworks Engineer: Scale Research Platforms 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: Scale Research Platforms in London
✨Tip Number 1
Network like a pro! Reach out to folks in the financial tech scene, especially those working with automated trading platforms. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects in F# and Python. This gives potential employers a taste of your coding style and problem-solving abilities, making you stand out.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges that are relevant to quantitative research and automated trading to impress during the interview.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly shows your enthusiasm for joining our team. Plus, it’s super easy!
We think you need these skills to ace Realtime Quant Frameworks Engineer: Scale Research Platforms in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with F# and Python, as well as any relevant projects you've worked on. We want to see how your skills align with the role of a Realtime Quant Frameworks Engineer.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about financial technology and how you can contribute to our automated trading platform. Be specific about your problem-solving skills and how they relate to supporting quantitative researchers.
Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, make sure to mention them. We love seeing practical examples of your work that demonstrate your software engineering prowess.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at G-Research
✨Know Your Tech Stack
Make sure you brush up on F# and Python before the interview. Be ready to discuss your experience with these languages and how you've used them in past projects. It’s a great way to show that you’re not just familiar with the tech, but that you can also apply it effectively.
✨Understand the Trading Platform
Do some research on automated trading platforms and the specific challenges they face. Being able to talk about performance and efficiency in this context will impress the interviewers and show that you’re genuinely interested in the role.
✨Problem-Solving Scenarios
Prepare for problem-solving questions that may come up during the interview. Think of examples from your previous work where you tackled complex issues, especially those related to quantitative research. This will demonstrate your analytical skills and ability to support researchers effectively.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the technologies they are currently using, or how they measure success in their projects. This shows that you’re engaged and thinking about how you can contribute to their goals.
