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- Tasks: Develop low-latency C#/.NET applications for algorithmic trading and collaborate with traders.
- Company: Leading recruitment agency with a focus on innovative trading solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape trading strategies and make a real impact in the fast-paced trading world.
- Qualifications: Strong skills in C#, .NET, Azure, Python, and a passion for trading.
- Other info: Join a dynamic team in London with excellent career advancement opportunities.
The predicted salary is between 43200 - 72000 £ per year.
A leading recruitment agency is seeking an Algo Software Engineer to join a new trading desk in London. This hybrid role involves developing low-latency C#/.NET applications for algorithmic trading, collaborating closely with traders and quants.
Ideal candidates will have strong skills in C#, .NET, Azure, and Python, along with a passion for trading and performance analysis. You will be pivotal in shaping trading strategies and ensuring robust execution of trades.
Front Office Algo Software Engineer-C#/.NET, Azure, Python employer: VirtueTech Recruitment Group
Contact Detail:
VirtueTech Recruitment Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Front Office Algo Software Engineer-C#/.NET, Azure, Python
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and tech space on LinkedIn. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a GitHub repo with projects showcasing your C#, .NET, and Python prowess. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on algorithmic trading concepts and be ready to discuss how you've tackled performance issues in past projects.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to connect with opportunities that match your skills and passion for trading.
We think you need these skills to ace Front Office Algo Software Engineer-C#/.NET, Azure, Python
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with C#, .NET, Azure, and Python in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your projects or any relevant work experience!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who understand the trading environment and can articulate their passion for algorithmic trading and performance analysis.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the position.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at VirtueTech Recruitment Group
✨Know Your Tech Stack
Make sure you brush up on your C#, .NET, Azure, and Python skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand Algorithmic Trading
Familiarise yourself with the basics of algorithmic trading and the role it plays in financial markets. Being able to discuss trading strategies and performance analysis will show your passion for the field and your ability to contribute meaningfully.
✨Prepare for Technical Questions
Expect technical questions that test your coding skills and problem-solving abilities. Practise coding challenges in C# and Python, and be prepared to explain your thought process clearly during the interview.
✨Show Your Collaborative Spirit
Since this role involves working closely with traders and quants, be ready to demonstrate your teamwork skills. Share examples of how you've successfully collaborated in the past and how you can bring that experience to the new trading desk.
