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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 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 and show your genuine interest in the role.
✨Tip Number 3
Brush up on your Python programming skills, especially in writing clean, modular, and testable OOP code. Be prepared to discuss your coding practices and possibly even solve a coding challenge during the interview.
✨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 over other candidates and show that you’re adaptable to 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. Emphasise your collaboration skills and any experience with international teams.
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 expertise.
✨Understand the Financial Landscape
Brush up on cryptocurrency markets and trading strategies. Being able to discuss current trends and how they impact trading can set you apart from other candidates.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges related to algorithmic trading and be ready to explain your thought process clearly.
✨Emphasise Collaboration Skills
Since you'll be working with an international team, highlight your experience in collaborative projects. Discuss how you communicate complex ideas effectively and adapt to different working styles.
