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For Companies At a Glance
- Tasks: Develop low latency C++ applications for crypto trading and blockchain technologies.
- Company: Join a cutting-edge firm at the forefront of crypto trading and technology.
- Benefits: Enjoy hybrid working with remote flexibility and competitive compensation.
- Why this job: Dive into an exciting field with potential for high earnings and innovative projects.
- Qualifications: Proficiency in C++, experience in trading or blockchain is a plus.
- Other info: Work in a dynamic environment with opportunities to learn and grow.
The predicted salary is between 43200 - 72000 £ per year.
About the Opportunity
Pursue the possibility of making serious money by doing something you are passionate about. The role is based in the West End and offers hybrid working with remote flexibility.
This job involves:
- C++ Engineering
- Trading
- Quant
- Blockchain
- Ethereum
- Tokens
- Coins
- C++
- Go
- Python
- dYdX
- Kyber
- 0x
- MakerDAO
Remote Low Latency C++ Engineer - Crypto Trading - Quant Capital employer: Blockchain Works
Contact Detail:
Blockchain Works Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Low Latency C++ Engineer - Crypto Trading - Quant Capital
✨Tip Number 1
Familiarise yourself with the latest trends in crypto trading and blockchain technology. Being knowledgeable about Ethereum, tokens, and various decentralised exchanges like dYdX and Kyber will show your passion and commitment to the field.
✨Tip Number 2
Network with professionals in the crypto trading space. Attend relevant meetups or online webinars to connect with industry experts and learn from their experiences. This can also lead to potential referrals for the position.
✨Tip Number 3
Brush up on your C++ skills, especially in low latency programming. Consider working on personal projects or contributing to open-source projects that focus on trading algorithms or blockchain applications to demonstrate your expertise.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges related to C++ and algorithm optimisation. Websites like LeetCode or HackerRank can be great resources to sharpen your problem-solving skills in a trading context.
We think you need these skills to ace Remote Low Latency C++ Engineer - Crypto Trading - Quant Capital
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C++, trading, and any relevant blockchain technologies. Use specific examples to demonstrate your skills in low latency programming and quantitative analysis.
Craft a Compelling Cover Letter: In your cover letter, express your passion for crypto trading and how your background aligns with the role. Mention specific projects or experiences that showcase your expertise in C++ and trading strategies.
Showcase Relevant Projects: If you have worked on any projects related to crypto trading, low latency systems, or blockchain, be sure to include them in your application. Provide links to your GitHub or portfolio to give them a clear view of your work.
Proofread Your Application: Before submitting, carefully proofread your application materials. Look for any spelling or grammatical errors, and ensure that all technical terms are used correctly. A polished application reflects your attention to detail.
How to prepare for a job interview at Blockchain Works
✨Brush Up on C++ Fundamentals
Make sure you have a solid understanding of C++ concepts, especially those relevant to low latency applications. Be prepared to discuss your experience with optimising code for performance and any specific projects you've worked on that demonstrate your skills.
✨Understand the Crypto Landscape
Familiarise yourself with the basics of cryptocurrency trading and blockchain technology. Being able to discuss current trends, key players like Ethereum and MakerDAO, and how they relate to your role will show your genuine interest in the field.
✨Prepare for Technical Questions
Expect technical questions that may involve coding challenges or problem-solving scenarios. Practise common algorithms and data structures, and be ready to explain your thought process clearly as you work through these problems.
✨Showcase Your Teamwork Skills
Since this role involves collaboration, be prepared to discuss your experience working in teams, particularly in fast-paced environments. Highlight any instances where you successfully contributed to a project or helped resolve conflicts within a team.
