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- Tasks: Join us to develop an AI-driven trading system and implement automated strategies for crypto markets.
- Company: Be part of a cutting-edge team focused on revolutionising cryptocurrency trading with AI technology.
- Benefits: Enjoy flexible working options, competitive salary, and the chance to work with a global team.
- Why this job: This role offers a unique opportunity to innovate in finance while collaborating with top talent worldwide.
- Qualifications: You need a degree in Computer Science or related fields and strong Python programming skills.
- Other info: Only applicants meeting the must-have qualifications will be considered, so ensure you meet the criteria.
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 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 during the interview can set you apart from other candidates who may not have that depth of knowledge.
✨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. Even though it's a nice-to-have, it could give you an edge, especially if you can relate it to how it would benefit our trading system development.
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. Emphasise your collaboration skills and mention any international team experiences.
Highlight Must-Have Qualifications: Clearly state how you meet the must-have qualifications listed in the job description. This includes your educational background, language proficiency, and specific experiences that align with the role.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial for a Quantitative Developer role.
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 your passion and understanding of 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 projects. Highlight any instances where you successfully worked with diverse teams, as this will demonstrate your ability to communicate and collaborate effectively.
