Quant Developer - Equities in London

Quant Developer - Equities in London

London Full-Time 150000 - 150000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Develop and enhance trading engines while automating trading systems.
  • Company: Leading hedge fund with a global presence and innovative culture.
  • Benefits: Competitive salary of £150k+, onsite work in vibrant London or Dubai.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Join a dynamic team to innovate in the fast-paced world of finance.
  • Qualifications: Degree in relevant field and 2+ years in financial services with Python skills.

The predicted salary is between 150000 - 150000 € per year.

Location: Central London, Greater London - United Kingdom

Type: Permanent

Our client is a market leading hedge fund, with a global reach in relation to their clients and offices. They are on the lookout for a talented Quant Developer with exceptional skills in Python programming, and solid experience on equities focused projects.

Responsibilities for an Equity Derivatives Quant:

  • Core Trading Engine Development: Build, maintain, and enhance the core trading engine to support optimal performance.
  • Systematic Trade Automations: Create and implement automated trading systems to improve efficiency and drive results.
  • Collaborative Innovation: Partner with traders, researchers, and developers to understand needs and deliver tailored solutions.

Requirements for an Equity Derivatives Quant:

  • Educational Background: Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related field.
  • Extensive knowledge surrounding equities asset class.
  • At least 2 years experience within the financial services industry.
  • Hands-on experience with object-oriented programming, using Python.
  • Strong communication skills and confidence in working within a collaborative team environment.

To hear more details please apply to this position or contact Ben Mortimore at Anson McCade.

Job Reference: AMC/BMO/QD01

Quant Developer - Equities in London employer: ANSON MCCADE

As a leading hedge fund located in the heart of Central London, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel. With competitive salaries starting at £150k and a commitment to professional development, we offer unparalleled growth opportunities for Quant Developers looking to make a significant impact in the financial services industry. Join us to collaborate with top-tier professionals and contribute to cutting-edge trading solutions in a vibrant city known for its financial prowess.

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Contact Detail:

ANSON MCCADE Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Quant Developer - Equities in London

Tip Number 1

Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups or webinars related to quant development and equities. You never know who might have the inside scoop on job openings!

Tip Number 2

Show off your skills! Create a portfolio showcasing your Python projects, especially those related to trading systems or equities. This will give potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges that focus on algorithms and data structures, as these are often key topics in quant developer interviews.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.

We think you need these skills to ace Quant Developer - Equities in London

Python Programming
Equities Knowledge
Core Trading Engine Development
Automated Trading Systems
Object-Oriented Programming
Collaboration Skills
Communication Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Quant Developer role. Highlight your Python programming skills and any relevant experience in equities projects. We want to see how your background aligns with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!

Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's a trading engine or an automated system, we want to see your hands-on experience. Include links or descriptions that demonstrate your expertise.

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. Plus, it’s super easy – just a few clicks and you’re done!

How to prepare for a job interview at ANSON MCCADE

Know Your Python Inside Out

Make sure you brush up on your Python skills, especially in the context of quantitative finance. Be prepared to discuss specific projects where you've used Python for trading systems or data analysis, as this will show your practical experience.

Understand Equities Like a Pro

Dive deep into the equities asset class. Familiarise yourself with current market trends, key players, and recent developments. This knowledge will help you engage in meaningful discussions during the interview and demonstrate your passion for the field.

Showcase Your Collaborative Spirit

Since the role involves working closely with traders and researchers, be ready to share examples of how you've successfully collaborated in past projects. Highlight your communication skills and how you’ve tailored solutions based on team needs.

Prepare for Technical Questions

Expect technical questions related to core trading engine development and systematic trade automation. Practise explaining complex concepts clearly and concisely, as this will showcase your expertise and ability to communicate effectively within a team.