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- Tasks: Join us to develop an AI-driven trading system and implement automated strategies.
- Company: Be part of a cutting-edge team focused on cryptocurrency trading innovation.
- Benefits: Enjoy flexible work options and the chance to collaborate with global experts.
- Why this job: This role offers a unique opportunity to shape the future of trading with AI technology.
- 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 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 during the interview can set you apart from other candidates who may not have that depth of knowledge.
✨Tip Number 3
Brush up on your Python programming skills, especially focusing on writing clean, modular, and testable OOP code. You might be asked to solve coding challenges or discuss your coding practices, so being prepared is key.
✨Tip Number 4
If you have experience with cloud platforms like AWS or microservices, be ready to discuss how you've used these technologies in your previous roles. This could give you an edge, as they value candidates with a broader technical skill set.
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 developing crypto trading strategies and advanced Python programming.
Craft a Compelling Cover Letter: In your cover letter, briefly outline your relevant experience and how it aligns with the role of a Quantitative Developer. Emphasise your background in machine learning and any projects that showcase your ability to design and implement automated trading strategies.
Highlight Technical Skills: Clearly list your technical skills, especially your proficiency in Python and any experience with cloud platforms like AWS. Mention any familiarity with microservices and ETL tools, as these are nice-to-have qualifications that could set you apart.
Proofread Your Application: Before submitting, thoroughly proofread your CV and cover letter for any grammatical errors or typos. A polished application reflects your attention to detail, which is crucial in a quantitative development 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 knowledgeable about the industry.
✨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 understand how you approach complex challenges.
✨Emphasise Collaboration
Since the role involves working with an international team, highlight your experience in collaborative projects. Discuss how you communicate effectively with team members from diverse backgrounds and how you contribute to a positive team dynamic.
