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- Tasks: Develop and implement C# algorithms for trading in a fast-paced environment.
- Company: Join Templeton and Partners, a leader in tech solutions for global clients.
- Benefits: Enjoy a hybrid work model and competitive contract terms.
- Why this job: Be part of cutting-edge algorithmic trading and enhance your skills in a dynamic team.
- Qualifications: Experience with C#, multithreading, and algorithmic trading is essential.
- Other info: Location: London; must have knowledge of market microstructure and cloud platforms.
The predicted salary is between 43200 - 72000 £ per year.
Templeton and Partners are looking for C# Software Engineer with Algorithmic Trading experience for out global client.
Location- London, hybrid
Contract- inside IR35
Required:
• C# .NET
• Multithreading and low-latency apps
• Asynchronous messaging
• Understanding of market microstructure (orderbooks, exchanges, types of orders)
• Front office algo trading experience (preferably strategy implementation)
• Cloud platform knowledge
• ETRM experience
• UI experience (Blazor)
• Commodities
• Market making knowledge
Software Engineer (C# Algorithmic Trading) employer: Templeton & Partners - Innovative & Inclusive Hiring Solutions
Contact Detail:
Templeton & Partners - Innovative & Inclusive Hiring Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer (C# Algorithmic Trading)
✨Tip Number 1
Make sure to highlight your experience with C# and .NET in your conversations. Be ready to discuss specific projects where you implemented multithreading or low-latency applications, as this will show your technical expertise.
✨Tip Number 2
Familiarize yourself with market microstructure concepts, especially order books and types of orders. Being able to speak knowledgeably about these topics can set you apart during discussions.
✨Tip Number 3
If you have experience with cloud platforms, be prepared to share how you've utilized them in previous roles. This is increasingly important in algorithmic trading environments.
✨Tip Number 4
Brush up on your knowledge of commodities and market making. Understanding these areas will not only help you in interviews but also demonstrate your commitment to the field.
We think you need these skills to ace Software Engineer (C# Algorithmic Trading)
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly understand the requirements for the Software Engineer position. Familiarize yourself with C#, algorithmic trading, and the specific technologies mentioned in the job description.
Tailor Your CV: Customize your CV to highlight your experience with C# .NET, multithreading, and low-latency applications. Include any relevant projects or roles that demonstrate your algorithmic trading knowledge and cloud platform experience.
Craft a Strong Cover Letter: Write a cover letter that connects your skills and experiences directly to the job requirements. Emphasize your understanding of market microstructure and any front office algo trading experience you have.
Highlight Relevant Projects: In your application, mention specific projects where you implemented trading strategies or worked with UI technologies like Blazor. This will showcase your practical experience and make your application stand out.
How to prepare for a job interview at Templeton & Partners - Innovative & Inclusive Hiring Solutions
✨Showcase Your C# Expertise
Make sure to highlight your experience with C# .NET during the interview. Be prepared to discuss specific projects where you've implemented multithreading and low-latency applications, as these are crucial for the role.
✨Demonstrate Your Understanding of Market Microstructure
Since the position requires knowledge of market microstructure, be ready to explain concepts like order books, exchanges, and types of orders. Providing examples from your past experiences can help illustrate your understanding.
✨Discuss Your Front Office Experience
If you have front office algo trading experience, especially in strategy implementation, make sure to discuss it in detail. Share specific strategies you've worked on and the impact they had on trading performance.
✨Familiarize Yourself with Cloud Platforms
As cloud platform knowledge is a requirement, be prepared to talk about your experience with cloud technologies. Discuss any relevant projects and how you utilized cloud services to enhance algorithmic trading solutions.
