Graduate Quantitative Analyst – Trading Desk (Python/ML)
Graduate Quantitative Analyst – Trading Desk (Python/ML)

Graduate Quantitative Analyst – Trading Desk (Python/ML)

Entry level 36000 - 60000 £ / year (est.) No home office possible
Go Premium
O

At a Glance

  • Tasks: Deliver high-quality quantitative strategies and monitor trading performance.
  • Company: Leading trading firm in Greater London with a focus on innovation.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
  • Why this job: Join a fast-paced trading desk and make an impact in global markets.
  • Qualifications: Degree in a quantitative field and strong Python skills required.
  • Other info: Immediate start needed; perfect for those eager to dive into trading.

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

A leading trading firm in Greater London is seeking an individual with strong quantitative skills to join their Quantitative Trading desk. This role involves delivering high-quality quantitative strategies, monitoring trading and strategy performance, and implementing signals within the global execution platform.

The ideal candidate will have a completed degree in a quantitative field, strong Python skills, and an eagerness to explore global markets. An immediate start is required.

Graduate Quantitative Analyst – Trading Desk (Python/ML) employer: Onyx Capital Group

As a leading trading firm in Greater London, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel. With a strong emphasis on professional development, we offer extensive training opportunities and mentorship programmes, ensuring that our team members grow alongside the company. Our collaborative environment encourages creativity and the exploration of global markets, making it an exciting place for those passionate about quantitative analysis and trading.
O

Contact Detail:

Onyx Capital Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Graduate Quantitative Analyst – Trading Desk (Python/ML)

Tip Number 1

Network like a pro! Reach out to professionals in the trading and quantitative analysis space on LinkedIn. A friendly message can go a long way, and you never know who might have a lead on that perfect role.

Tip Number 2

Show off your skills! Create a portfolio showcasing your Python projects or any machine learning models you've built. This is your chance to demonstrate your quantitative prowess and stand out from the crowd.

Tip Number 3

Prepare for those interviews! Brush up on your quantitative skills and be ready to discuss your thought process when tackling problems. Practising common interview questions can help you feel more confident and ready to impress.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!

We think you need these skills to ace Graduate Quantitative Analyst – Trading Desk (Python/ML)

Quantitative Skills
Python
Machine Learning
Strategy Development
Performance Monitoring
Signal Implementation
Global Market Analysis
Analytical Thinking

Some tips for your application 🫡

Show Off Your Quant Skills: Make sure to highlight your quantitative skills in your application. We want to see how you've applied these skills in your studies or any projects, especially if they relate to trading or finance.

Python is Key: Since strong Python skills are a must for this role, don’t forget to mention any relevant experience you have with Python. Whether it's coursework, personal projects, or internships, let us know how you've used Python to solve problems.

Be Passionate About Markets: We love candidates who are eager to explore global markets! Share any experiences or interests you have in trading or market analysis. This will show us that you're not just qualified, but also genuinely excited about the role.

Apply Through Our Website: To make sure your application gets to us quickly, apply through our website. It’s the easiest way for us to review your application and get back to you. We can’t wait to see what you bring to the table!

How to prepare for a job interview at Onyx Capital Group

Know Your Quantitative Skills

Make sure you can clearly articulate your quantitative skills and how they apply to trading. Brush up on key concepts in statistics and data analysis, as well as any relevant projects you've worked on that showcase your abilities.

Show Off Your Python Proficiency

Since strong Python skills are a must, be prepared to discuss your experience with the language. Bring examples of code you've written or projects where you've used Python for data analysis or algorithm development. If possible, practice coding challenges beforehand!

Understand the Trading Landscape

Familiarise yourself with current trends in global markets and trading strategies. Being able to discuss recent market movements or trading news will show your enthusiasm and understanding of the industry, which is crucial for this role.

Prepare Questions for Them

Interviews are a two-way street! Prepare insightful questions about their trading strategies, team dynamics, or the technologies they use. This not only shows your interest but also helps you gauge if the firm is the right fit for you.

Graduate Quantitative Analyst – Trading Desk (Python/ML)
Onyx Capital Group
Go Premium

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

O
  • Graduate Quantitative Analyst – Trading Desk (Python/ML)

    Entry level
    36000 - 60000 £ / year (est.)
  • O

    Onyx Capital Group

    50-100
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>