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- Tasks: Join us to develop an AI-driven trading system for automated cryptocurrency trading.
- Company: Be part of a cutting-edge team focused on innovative financial technology.
- Benefits: Enjoy flexible working options and the chance to work with a global team.
- Why this job: This role offers a unique opportunity to shape the future of crypto trading with AI.
- Qualifications: Bachelor’s degree in Computer Science or related field; advanced Python skills required.
- Other info: Only candidates 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 the field.
✨Tip Number 2
Familiarise yourself with the latest trends in cryptocurrency trading and AI technologies. Being able to discuss current market dynamics and how they relate to your work can set you apart during interviews.
✨Tip Number 3
Network with professionals in the quantitative finance and cryptocurrency sectors. Engaging with industry experts can provide insights and potentially lead to referrals, which can be invaluable when applying for roles like this.
✨Tip Number 4
Prepare to discuss your advanced Python programming skills in detail. Be ready to explain your approach to writing clean, modular, and testable code, as this is crucial for the role of a Quantitative Developer.
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 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.
Showcase Your Technical Skills: Clearly outline your advanced Python programming skills in your application. Provide examples of clean, modular, and testable OOP code you've written, as this is crucial for the role.
Highlight Collaboration Experience: Since the role involves collaborating with an international team, mention any previous experiences where you worked effectively in a team setting. This could include projects where you contributed to a shared goal or collaborated across different time zones.
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 your insights into market behaviour will show that you are not only technically proficient but also have a strong grasp of the financial aspects of the role.
✨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. This will highlight your analytical skills and ability to think on your feet.
✨Emphasise Collaboration
Since the role involves working with an international team, be sure to highlight your experience in collaborative environments. Share examples of how you've successfully worked with others to achieve common goals, particularly in tech or finance-related projects.
