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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 in landing a role with us.
✨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 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 any ML algorithms you've implemented. Bring examples of your clean, modular code and be ready to explain your thought process behind building production-grade trading systems.
✨Demonstrate Financial Acumen
Since the role involves cryptocurrency trading, brush up on your knowledge of financial data analysis and feature engineering. Be ready to discuss specific strategies you've developed and how they performed in back-testing.
✨Highlight Collaboration Experience
This position requires working with an international team, so share examples of how you've successfully collaborated in diverse environments. Emphasise your communication skills and how you adapt to different team dynamics.
✨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 think aloud as you work through them during the interview.
