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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 revolutionising the crypto trading landscape.
- 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 cryptocurrency.
- 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 influence trading strategies 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 significantly boost your chances of landing the job.
✨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 and will demonstrate your technical proficiency.
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, detail your relevant experience with automated trading strategies and ML-based models. Be sure to mention any experience you have with cryptocurrency markets and how it aligns with the role.
Highlight Technical Skills: Clearly outline your advanced Python programming skills and any experience with cloud platforms or microservices. This will help you stand out, especially since these are nice-to-have qualifications.
Proofread Your Application: Before submitting, double-check your CV and cover letter for any spelling or grammatical errors. 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 that you are not only technically proficient but also have a solid understanding of the financial context.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills, particularly in relation to algorithmic trading and model deployment. Practice articulating your thought process clearly, as this will help interviewers gauge your analytical abilities.
✨Emphasise Collaboration Skills
Since the role involves working with an international team, highlight your experience in collaborative projects. Discuss how you’ve effectively communicated and worked with diverse teams in the past, as this is crucial for success in a global environment.
