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- 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: Apply quickly; high volume of applicants expected!
The predicted salary is between 43200 - 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 firms 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 firms 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.
Seniority level Seniority level Mid-Senior level
Employment type Employment type Full-time
Job function Job function Information Technology
Industries Financial Services and Capital Markets
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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 coding abilities and problem-solving skills, as this will give you practical examples to discuss.
✨Tip Number 3
Network with professionals in the finance and tech sectors. Attend industry meetups or webinars where you can connect with current employees of the firm or similar companies. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your experience with developing and optimising research pipelines. Think of specific examples where you've successfully implemented strategies or improved performance, as this will highlight your relevant experience and fit for the role.
We think you need these skills to ace Quantitative Developer - Equities
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 align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI/ML in asset management. Discuss how your background in Computer Science or Engineering makes you a perfect fit for the role, and mention any specific experiences that demonstrate your ability to contribute to a high-performing team.
Showcase Relevant Projects: If you have worked on projects involving trading strategies or research pipelines, include these in your application. Detail your role, the technologies used, and the outcomes achieved to illustrate your hands-on experience.
Highlight Team Collaboration Skills: Since the role involves working collaboratively with traders and developers, make sure to mention any past experiences where you successfully worked in a team environment. This could include group projects, internships, or previous job roles.
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. Highlight specific projects where you've successfully implemented algorithms or optimised performance, as this will demonstrate your technical prowess to the interviewers.
✨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 existing strategies will show that you're genuinely interested and have done your homework.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions during the interview. Practice coding challenges and algorithmic problems that are relevant to quantitative finance, as this will help you think on your feet and showcase your analytical abilities.
✨Emphasise Team Collaboration
Since the role involves working closely with traders and other developers, be ready to discuss your experience in collaborative environments. Share examples of how you've successfully worked in teams to meet project deadlines and achieve common goals.
