Crypto Quant Developer: Low-Latency Trading & AI in London

Crypto Quant Developer: Low-Latency Trading & AI in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Harrington Starr

At a Glance

  • Tasks: Develop and optimise trading systems for digital assets with a focus on low-latency performance.
  • Company: Join Harrington Starr, a leader in the crypto trading space.
  • Benefits: Enjoy competitive compensation and a collaborative work environment.
  • Other info: Be part of a dynamic team with great growth potential.
  • Why this job: Make an impact in the exciting world of crypto trading and AI.
  • Qualifications: Strong Java skills and experience in algorithmic trading required.

The predicted salary is between 60000 - 80000 £ per year.

Harrington Starr is seeking a Quantitative Developer to join their Crypto trading desk. This role involves developing and optimising trading systems and algorithms for digital assets, with a focus on low-latency performance.

Ideal candidates should possess strong Java skills and experience in algorithmic trading. The position offers a collaborative environment and competitive compensation.

Crypto Quant Developer: Low-Latency Trading & AI in London employer: Harrington Starr

Harrington Starr is an exceptional employer for those passionate about the intersection of technology and finance, particularly in the dynamic field of crypto trading. With a strong emphasis on collaboration and innovation, employees benefit from competitive compensation and opportunities for professional growth in a fast-paced environment that values cutting-edge solutions and low-latency performance.

Harrington Starr

Contact Details:

Harrington Starr Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Crypto Quant Developer: Low-Latency Trading & AI in London

Tip Number 1

Network like a pro! Reach out to folks in the crypto and trading space on LinkedIn or at industry events. A personal connection can often get your foot in the door faster than a CV.

Tip Number 2

Show off your skills! If you’ve got any projects or algorithms you’ve developed, make sure to showcase them. A portfolio can really set you apart from the crowd.

Tip Number 3

Prepare for technical interviews by brushing up on your Java and algorithmic trading knowledge. Practice coding challenges and be ready to discuss your thought process during problem-solving.

Tip Number 4

Don’t forget to apply through our website! We’re always looking for talented individuals, and applying directly can sometimes give you an edge over other candidates.

We think you need these skills to ace Crypto Quant Developer: Low-Latency Trading & AI in London

Java
Algorithmic Trading
Low-Latency Performance
Trading Systems Development
Optimisation Techniques
Collaboration Skills
Quantitative Analysis

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your Java skills and any experience you have with algorithmic trading. We want to see how your background aligns with the role, so don’t hold back!

Tailor Your Application:Take a moment to customise your application for this specific role. Mention your interest in low-latency performance and how you can contribute to our crypto trading desk. It shows us you’re genuinely interested!

Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at Harrington Starr

Know Your Tech Inside Out

Make sure you brush up on your Java skills before the interview. Be ready to discuss specific projects where you've used Java for algorithmic trading, and be prepared to solve coding problems on the spot.

Understand Low-Latency Trading

Familiarise yourself with the principles of low-latency trading. Be ready to explain how you would optimise trading systems for speed and efficiency, and think about any relevant experiences you can share.

Showcase Your Problem-Solving Skills

Quant roles often involve tackling complex problems. Prepare to discuss how you've approached challenges in past projects, particularly in algorithm development or system optimisation.

Be Ready for Collaboration Questions

Since the role offers a collaborative environment, think about examples that demonstrate your teamwork skills. Be prepared to discuss how you’ve worked with others to achieve common goals, especially in high-pressure situations.