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For Companies At a Glance
- Tasks: Enhance trading strategies and support traders with tech expertise.
- Company: Join a leading Hedge Fund in London known for innovation.
- Benefits: Enjoy growth opportunities and a dynamic work environment.
- Why this job: Be part of a competitive team shaping global financial markets.
- Qualifications: Strong C++ and Python skills; familiarity with financial markets required.
- Other info: Work with large datasets and cutting-edge technology.
The predicted salary is between 48000 - 84000 £ per year.
A leading Hedge Fund based in London is seeking a Quantitative Developer to join their trading technologies team. The firm's team integrates innovative technology and trading strategies, while utilizing a sophisticated research platform and development environment to realize consistent trading alphas. An extremely talented and motivated individual is sought after, in order to collaborate with a team that is competitive in the global financial markets.
As a Quantitative Developer you will play a crucial role in enhancing their research framework and trading strategies development across all assets, enabling their traders to optimize execution performance and minimize costs.
- Implement trading strategies and execution performance across various asset classes.
- Provide quantitative development expertise and support to traders and portfolio managers on all front office technology related matters.
- Familiarity with financial markets and trading concepts.
- Strong experience working with C++ and Python.
- Experience working with large datasets and databases.
Please apply now for an excellent opportunity with an elite fund that has huge growth opportunities.
Trading Quantitative Developer employer: Algo Capital Group
Contact Detail:
Algo Capital Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trading Quantitative Developer
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative trading and financial markets. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your C++ and Python skills, focusing on libraries and frameworks commonly used in quantitative finance. Being able to demonstrate your coding proficiency in these languages can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the hedge fund industry, especially those working in quantitative roles. Attend relevant meetups or webinars to build connections that could lead to referrals or insider information about the job.
✨Tip Number 4
Prepare to discuss your experience with large datasets and databases. Be ready to share specific examples of how you've handled data in past projects, as this is crucial for the role and will showcase your practical knowledge.
We think you need these skills to ace Trading Quantitative Developer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Quantitative Developer. Familiarise yourself with trading strategies, execution performance, and the technologies mentioned in the job description.
Tailor Your CV: Highlight your experience with C++ and Python prominently in your CV. Include specific projects or roles where you've worked with large datasets and databases, as this is crucial for the position.
Craft a Compelling Cover Letter: In your cover letter, express your passion for financial markets and technology. Mention how your skills align with the firm's goals and how you can contribute to enhancing their research framework and trading strategies.
Showcase Relevant Projects: If you have any relevant projects or experiences that demonstrate your quantitative development expertise, be sure to include them. This could be personal projects, internships, or previous job roles that relate to trading technologies.
How to prepare for a job interview at Algo Capital Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with C++ and Python in detail. Bring examples of projects you've worked on, especially those involving large datasets or trading strategies, as this will demonstrate your technical proficiency.
✨Understand Financial Markets
Brush up on your knowledge of financial markets and trading concepts. Being able to discuss how different asset classes operate and the impact of market conditions on trading strategies will show your potential employer that you are well-versed in the field.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions during the interview. Practice coding challenges and algorithmic problems related to trading strategies, as this will help you think on your feet and showcase your analytical skills.
✨Demonstrate Team Collaboration
Since the role involves working closely with traders and portfolio managers, be ready to discuss your experience in collaborative environments. Highlight instances where you successfully worked in a team to solve complex problems or enhance trading performance.
