Quant Developer: Build Scalable Trading Tools
Quant Developer: Build Scalable Trading Tools

Quant Developer: Build Scalable Trading Tools

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Create scalable trading tools and enhance data analysis systems.
  • Company: Global tech-driven investment firm with a focus on innovation.
  • Benefits: Competitive salary, flexible work options, and opportunities for growth.
  • Why this job: Join a cutting-edge team and make an impact in finance technology.
  • Qualifications: Degree in a relevant field and 2+ years of coding experience.
  • Other info: Dynamic environment with a strong emphasis on collaboration and learning.

The predicted salary is between 36000 - 60000 £ per year.

A global technology-driven investment firm seeks a Quant Developer to bridge quantitative research and engineering. This role involves developing scalable software for data analysis, backtesting, and trading systems.

Candidates should have a degree in a relevant field and 2+ years of experience with Python, C++, or kdb+/q. Strong technical communication skills are essential, with experience in modern software development practices preferred.

Quant Developer: Build Scalable Trading Tools employer: Radley James

Join a leading global technology-driven investment firm that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact the development of cutting-edge trading tools. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and mentorship from industry experts, all while enjoying a competitive benefits package in a vibrant location that fosters creativity and teamwork.
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Contact Detail:

Radley James Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Quant Developer: Build Scalable Trading Tools

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Quant Developers. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, C++, or kdb+/q. This will give potential employers a taste of what you can do and set you apart from the crowd.

✨Tip Number 3

Prepare for technical interviews by brushing up on your coding skills and understanding trading systems. Practice common algorithms and data structures, and be ready to discuss your past projects in detail.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.

We think you need these skills to ace Quant Developer: Build Scalable Trading Tools

Python
C++
kdb+/q
Data Analysis
Backtesting
Trading Systems Development
Technical Communication Skills
Modern Software Development Practices

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your experience with Python, C++, or kdb+/q in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back!

Tailor Your Application: Customise your CV and cover letter to reflect the job description. Mention your experience with scalable software development and any relevant projects that showcase your ability to bridge research and engineering.

Communicate Clearly: Strong technical communication skills are a must for us. Use clear and concise language in your application to demonstrate your ability to convey complex ideas effectively.

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’re considered for the role without any hiccups!

How to prepare for a job interview at Radley James

✨Know Your Tech Inside Out

Make sure you’re well-versed in Python, C++, and kdb+/q. Brush up on your coding skills and be ready to demonstrate your knowledge through practical examples or coding challenges during the interview.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific projects where you've developed scalable trading tools or data analysis systems. Be ready to explain your thought process and how you approached challenges, as this will highlight your quantitative research and engineering capabilities.

✨Communicate Clearly and Effectively

Strong technical communication skills are a must. Practice explaining complex concepts in simple terms, as you may need to convey your ideas to non-technical stakeholders. This will show that you can bridge the gap between research and engineering.

✨Familiarise Yourself with Modern Development Practices

Research current software development methodologies like Agile or DevOps. Be prepared to discuss how you’ve applied these practices in your previous roles, as this will demonstrate your adaptability and commitment to continuous improvement.

Quant Developer: Build Scalable Trading Tools
Radley James

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