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- Tasks: Join us to develop an AI-driven trading system for cryptocurrency markets.
- Company: Be part of a cutting-edge team focused on automated trading solutions.
- Benefits: Enjoy flexible working arrangements and the chance to work with global experts.
- Why this job: This role offers a unique opportunity to innovate in the exciting world of crypto trading.
- Qualifications: You need a degree in Computer Science and strong Python skills, plus experience in ML algorithms.
- Other info: Only applicants meeting the must-have qualifications will be considered.
The predicted salary is between 43200 - 72000 £ per year.
A team developing an AI-driven trading system for automated cryptocurrency trading is looking for an experienced Senior Quant Dev.
What You’ll Do:
- Develop an MVP of AI-based trading system.
- Design and implement automated trading strategies for cryptocurrency markets.
- Build, train, and refine ML-based models for algorithmic trading.
- Collaborate with a skilled international team.
Must-Have:
- Education: Bachelor’s degree or higher in Computer Science, Software Engineering, or related fields.
- Language: Fluent English (C1-C2).
- Experience: Building production-grade trading system based on ML algorithms.
- Expertise in financial data analysis, feature engineering, back-testing, and deploying models.
- Developing crypto trading strategies.
- Advanced Python programming skills (clean, modular, testable OOP code).
Nice-to-Have:
- Experience with cloud platforms (AWS), microservices, and ETL tools.
- Advanced degree (Master’s/PhD) in Computer Science or a related field.
Important: Only candidates meeting the must-have qualifications will be considered. Please do not apply if you lack the required skills.
To Apply: Send your CV and a brief cover letter detailing your relevant experience.
Quantitative Developer employer: TradAI - automated hybrid trading bot solution
Contact Detail:
TradAI - automated hybrid trading bot solution Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer
✨Tip Number 1
Make sure to showcase your experience with building production-grade trading systems. Highlight specific projects where you've successfully implemented ML algorithms, as this will demonstrate your capability in developing the AI-driven trading system we’re looking for.
✨Tip Number 2
Familiarise yourself with cryptocurrency markets and trading strategies. Being able to discuss current trends and your insights on crypto trading will show that you’re not just technically skilled but also passionate about the field.
✨Tip Number 3
Prepare to discuss your advanced Python programming skills in detail. Be ready to explain how you write clean, modular, and testable code, as well as any specific libraries or frameworks you’ve used in your previous projects.
✨Tip Number 4
If you have experience with cloud platforms like AWS or microservices, be sure to mention it during any discussions. This knowledge can set you apart from other candidates and shows that you’re equipped to handle modern development environments.
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building production-grade trading systems and your expertise in financial data analysis. Use specific examples to demonstrate your skills in Python programming and ML algorithms.
Craft a Compelling Cover Letter: In your cover letter, briefly outline your relevant experience in developing automated trading strategies and working with ML-based models. Be sure to mention any experience you have with cloud platforms or microservices, as these are nice-to-have skills.
Highlight Your Education: Clearly state your educational background, especially if you hold a Bachelor’s degree or higher in Computer Science or Software Engineering. If you have an advanced degree, make sure to mention it as it can strengthen your application.
Proofread Your Application: Before submitting, double-check your CV and cover letter for any spelling or grammatical errors. Ensure that your English is fluent and professional, as this is a requirement for the position.
How to prepare for a job interview at TradAI - automated hybrid trading bot solution
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and ML algorithms in detail. Bring examples of your previous work, especially any production-grade trading systems you've built, as this will demonstrate your capability to handle the technical demands of the role.
✨Understand the Financial Landscape
Familiarise yourself with cryptocurrency markets and trading strategies. Being able to discuss current trends and how they might impact trading systems will show that you are not only technically proficient but also knowledgeable about the industry.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice coding problems related to algorithmic trading and be ready to explain your thought process clearly. This will highlight your analytical skills and ability to think on your feet.
✨Emphasise Collaboration Skills
Since the role involves working with an international team, be ready to discuss your experience in collaborative environments. Share examples of how you've successfully worked with others to achieve common goals, particularly in a tech-focused setting.
