Quantitative Developer

Quantitative Developer

Cheltenham Full-Time 43200 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join us to develop an AI-driven trading system and implement automated strategies for crypto markets.
  • Company: Be part of a cutting-edge team focused on revolutionising cryptocurrency trading with AI technology.
  • Benefits: Enjoy flexible working options, a collaborative international team, and opportunities for professional growth.
  • Why this job: This role offers a chance to innovate in finance while working with advanced technologies and talented peers.
  • Qualifications: You need a degree in Computer Science or related fields, plus experience in ML algorithms and Python programming.
  • Other info: Only applicants meeting the must-have qualifications will be considered, so ensure you meet the criteria.

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

Join a forward-thinking team at the forefront of AI-driven trading technology, where your expertise as a Quantitative Developer will be valued and nurtured. Our collaborative work culture fosters innovation and continuous learning, providing you with ample opportunities for professional growth in the dynamic field of cryptocurrency trading. Located in a vibrant tech hub, we offer competitive benefits and a stimulating environment that encourages creativity and excellence.
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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 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 OOP 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 over other applicants and show your versatility.

We think you need these skills to ace Quantitative Developer

Machine Learning Algorithms
Financial Data Analysis
Feature Engineering
Back-Testing
Model Deployment
Automated Trading Strategies
Advanced Python Programming
Object-Oriented Programming (OOP)
Cloud Platforms (AWS)
Microservices Architecture
ETL Tools
Collaboration Skills
Problem-Solving Skills
Attention to Detail

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 your passion and understanding of the industry.

✨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 clearly. 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 ready to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked with others to achieve common goals, particularly in tech projects.

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