At a Glance
- Tasks: Develop complex algorithmic trading systems using C# .NET.
- Company: Leading tech recruitment agency in vibrant Soho, London.
- Benefits: Competitive salary up to £180k, bonuses, private healthcare, and training budgets.
- Why this job: Gain technical ownership and work on cutting-edge trading technology.
- Qualifications: Specialisation in C# .NET and a passion for algorithmic trading.
- Other info: Join a collaborative team in a dynamic and exciting environment.
The predicted salary is between 108000 - 252000 £ per year.
A leading technology recruitment agency in London is seeking a Software Developer / Engineer who specializes in C# .Net to join their team. You will work on complex algorithmic trading systems and have opportunities for technical ownership.
The role offers a competitive salary up to £180k, significant bonuses, and additional perks like private healthcare and training budgets. This position is full-time and based in fabulous Soho offices, perfect for collaborative and driven technologists.
London-based C# .NET Developer for Algorithmic Trading employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land London-based C# .NET Developer for Algorithmic Trading
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those in algorithmic trading. A friendly chat can lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your C# .NET projects, especially any related to 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 algorithmic trading knowledge. We recommend practising coding challenges and discussing your thought process clearly during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing passionate candidates who are eager to join our team.
We think you need these skills to ace London-based C# .NET Developer for Algorithmic Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C# and .NET specifically. We want to see how your skills align with the algorithmic trading systems we work on, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about algorithmic trading and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: In your application, don’t forget to mention any specific technologies or methodologies you’ve used in past projects. We’re looking for someone who can take technical ownership, so let us know what you bring to the table!
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 important updates. Plus, it shows you’re keen to join our fabulous team!
How to prepare for a job interview at Client Server
✨Know Your C# Inside Out
Make sure you brush up on your C# skills before the interview. Be prepared to discuss your experience with .NET frameworks and any specific projects you've worked on that relate to algorithmic trading. This will show your technical expertise and passion for the role.
✨Understand Algorithmic Trading Basics
Familiarise yourself with the fundamentals of algorithmic trading. Knowing how trading algorithms work and being able to discuss them will impress your interviewers. They’ll appreciate your initiative in understanding the industry context of the role.
✨Prepare for Technical Questions
Expect some challenging technical questions during the interview. Practice coding problems and be ready to solve them on the spot. Use platforms like LeetCode or HackerRank to sharpen your problem-solving skills, especially in areas relevant to trading systems.
✨Showcase Your Collaborative Spirit
Since the role is based in a collaborative environment, be ready to discuss how you’ve worked effectively in teams. Share examples of past projects where you took ownership and contributed to team success. This will highlight your fit for their dynamic culture.