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- Tasks: Re-engineer core quant infrastructure for risk and PnL systems in real-time trading.
- Company: Leading trading firm in London with a focus on innovation.
- Benefits: Top compensation, hybrid working environment, and collaboration with quants and traders.
- Why this job: Join a dynamic team to design fault-tolerant systems that are critical to trading success.
- Qualifications: 4+ years in scalable trading systems, strong C#/.NET skills, Python exposure is a plus.
- Other info: Exciting opportunity for career growth in a fast-paced trading environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading trading firm in London is seeking experienced C#/.NET technologists to re-engineer their core quant infrastructure for risk and PnL systems. The role involves collaborating closely with quants and traders to design and develop fault tolerant, real-time systems critical to trading operations.
Key requirements include:
- 4+ years of experience in building scalable trading systems
- Strong skills in C#/.NET
- Additional exposure to Python beneficial
This position offers top compensation and a hybrid working environment.
Quant Infrastructure Engineer - Real-Time FX Trading (C#/.NET) employer: Stanford Black Limited
Contact Detail:
Stanford Black Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Infrastructure Engineer - Real-Time FX Trading (C#/.NET)
✨Tip Number 1
Network like a pro! Reach out to your connections in the trading and tech space. Attend meetups or webinars related to quant infrastructure and real-time systems. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! If you’ve built any trading systems or projects, make sure to showcase them. Create a portfolio or GitHub repo that highlights your C#/.NET expertise and any Python work you've done. This will give you an edge when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around fault-tolerant systems and real-time processing. Practice common interview questions and scenarios that quants and traders might throw your way. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly can sometimes get you noticed faster than through other channels. Let’s land that dream job together!
We think you need these skills to ace Quant Infrastructure Engineer - Real-Time FX Trading (C#/.NET)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with C#/.NET and any relevant projects you've worked on. We want to see how your skills align with our needs in building scalable trading systems.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specifics of the Quant Infrastructure Engineer role. Mention your experience with real-time systems and collaboration with quants and traders.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
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!
How to prepare for a job interview at Stanford Black Limited
✨Know Your Tech Inside Out
Make sure you brush up on your C# and .NET skills before the interview. Be ready to discuss your past projects in detail, especially those involving scalable trading systems. They’ll want to see how you’ve tackled challenges and what solutions you implemented.
✨Understand the Trading Environment
Familiarise yourself with real-time FX trading concepts and the importance of risk and PnL systems. Showing that you understand the trading landscape will impress the interviewers and demonstrate your commitment to the role.
✨Collaborate Like a Pro
Since this role involves working closely with quants and traders, be prepared to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked in teams to deliver projects, highlighting your communication skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s quant infrastructure and their approach to fault tolerance in trading systems. This not only shows your interest but also gives you a chance to assess if the company is the right fit for you.
