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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 options and the chance to work with global talent.
- 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 they are 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 knowledgeable about the industry.
✨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 this is crucial for the role and will set you apart from other candidates.
✨Tip Number 4
If you have experience with cloud platforms like AWS or microservices, be sure to mention it during any discussions. Even though it's a nice-to-have, it can give you an edge 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 that demonstrate your skills in ML algorithms and Python programming.
Craft a Compelling Cover Letter: In your cover letter, detail your relevant experience with automated trading strategies and ML-based models. Be sure to mention any specific projects or achievements that align with the job description.
Showcase Technical Skills: Clearly outline your advanced Python programming skills and any experience you have with cloud platforms like AWS. If you have worked with microservices or ETL tools, make sure to include that as well.
Proofread Your Application: Before submitting, double-check your CV and cover letter for any spelling or grammatical errors. Ensure that all information is accurate and that your application presents you in the best light possible.
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 meet the job requirements.
✨Understand the Financial Landscape
Familiarise yourself with 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 skills. Practice coding challenges related to algorithmic trading and be ready to explain your thought process clearly.
✨Emphasise Collaboration
Since the role involves working with an international team, highlight your experience in collaborative projects. Discuss how you communicate effectively across different cultures and time zones.
