Quantitative Developer - Equities
Quantitative Developer - Equities

Quantitative Developer - Equities

Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop and optimise trading strategies using C++ in a collaborative team environment.
  • Company: Join a leading AI/ML Asset Management firm based in London, known for innovation.
  • Benefits: Enjoy competitive pay, cutting-edge technology, and a dynamic work culture.
  • Why this job: Be part of a high-performing team making an impact in global financial markets.
  • Qualifications: Bachelor's, Master's, or PhD in Computer Science, Engineering, or Physics required.
  • Other info: Experience with C++ on Linux is essential; bring your coding skills to the forefront!

The predicted salary is between 48000 - 72000 £ per year.

Our client is a leading AI/ML Asset Management firm headquartered in London and is seeking a C++ Quantitative Developer front office technology for strategies development to contribute to the globally experienced team. The firm's team integrates innovative technology and trading strategies, while utilizing a sophisticated research platform and development environment to realise consistent trading alphas. An extremely talented and motivated individual is sought after, in order to work within a team that is competitive in global financial markets.

Your impact:

  • Contribute to a high-performing team in developing, optimizing and evolving the firm's research pipeline and strategy development.
  • Identify prospects for further optimization and performance enhancements through research in order to realise trading results.
  • Build components and new infrastructure to maintain new trading strategies and exhausting the testing and debugging skills as part of the development process.
  • Work collaboratively with other teams of traders and developers to provide realistic project timelines, estimates and ensure team accountability.
  • Provide high-level technical and investment analytics support to the trading desk.

Requirements:

  • A Bachelors, Masters, or PhD degree in Computer Science, Engineering, Physics or a similar field.
  • Strong software engineering abilities and a track record of success across a range of platforms.
  • Experience of developing with C++ on Linux.
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Contact Detail:

Algo Capital Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Quantitative Developer - Equities

✨Tip Number 1

Familiarise yourself with the latest trends in AI and machine learning, especially as they relate to asset management. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.

✨Tip Number 2

Brush up on your C++ skills, particularly in a Linux environment. Consider working on personal projects or contributing to open-source projects that showcase your ability to develop and optimise trading strategies.

✨Tip Number 3

Network with professionals in the finance and tech sectors. Attend industry meetups or webinars where you can connect with current employees at firms like ours. This can provide valuable insights and potentially lead to referrals.

✨Tip Number 4

Prepare to discuss your experience with collaborative projects. Highlight instances where you've worked with traders or developers to achieve common goals, as teamwork is crucial in our fast-paced environment.

We think you need these skills to ace Quantitative Developer - Equities

C++ Programming
Linux Operating System
Software Engineering
Algorithm Development
Data Structures and Algorithms
Performance Optimisation
Debugging Skills
Quantitative Analysis
Statistical Modelling
Machine Learning Techniques
Collaboration and Teamwork
Project Management
Technical Documentation
Investment Analytics

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with C++ and any relevant projects you've worked on in the field of quantitative development. Emphasise your software engineering skills and any specific achievements that relate to the job description.

Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about quantitative development and how your background in Computer Science or Engineering makes you a great fit for the role. Mention your experience with Linux and any relevant projects that demonstrate your ability to contribute to the team.

Showcase Relevant Projects: If you have worked on any projects that involved developing trading strategies or optimising algorithms, be sure to include these in your application. Provide details on your role, the technologies used, and the outcomes achieved.

Highlight Team Collaboration Skills: Since the role involves working collaboratively with traders and developers, mention any experiences where you successfully worked in a team environment. Highlight your ability to communicate effectively and meet project deadlines.

How to prepare for a job interview at Algo Capital Group

✨Showcase Your Technical Skills

Be prepared to discuss your experience with C++ and Linux in detail. Bring examples of projects you've worked on that demonstrate your software engineering abilities, especially those related to quantitative development.

✨Understand the Firm's Strategies

Research the firm's trading strategies and their approach to AI/ML in asset management. Being able to discuss how your skills can contribute to their specific strategies will show your genuine interest and alignment with their goals.

✨Prepare for Problem-Solving Questions

Expect technical questions that assess your problem-solving skills. Practice coding challenges or algorithm questions that are relevant to quantitative finance, as this will help you think on your feet during the interview.

✨Emphasise Team Collaboration

Highlight your ability to work collaboratively with traders and developers. Share examples of past experiences where you successfully contributed to a team project, focusing on communication and accountability.

Quantitative Developer - Equities
Algo Capital Group
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