At a Glance
- Tasks: Join a dynamic team to develop cutting-edge trading algorithms for financial markets.
- Company: Work with a leading financial client in the heart of Central London.
- Benefits: Enjoy a collaborative environment with opportunities for professional growth.
- Why this job: Be part of an agile team creating impactful technology in high-stakes trading.
- Qualifications: Expertise in Java, Linux, and experience with trading systems required.
- Other info: Ideal for tech-savvy individuals passionate about finance and innovation.
The predicted salary is between 43200 - 72000 Β£ per year.
Iβm working with one of our big Financials domain clients based in Central London, and theyβre looking for an Algorithmic Trading Developer to join the team. They are looking for an outstanding candidate to be a part of an agile, highly professional team delivering client-facing, high-availability, low-latency trading algorithms technology.
The ideal candidate:
- Expertise with Java, Linux, and OO Design.
- Extensive experience developing trading systems for Equities, Futures or Derivatives.
- Knowledge of Equities market microstructure and trading workflows.
- Extensive experience in implementation of trading algorithms.
If this sounds like an interesting opportunity to you, feel free to apply for this position or drop me your CV at mohammad.sobee@harveynash.com.
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Algorithmic Trading Developer
β¨Tip Number 1
Familiarise yourself with the latest trends in algorithmic trading and market microstructure. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
β¨Tip Number 2
Network with professionals in the financial technology sector, especially those working in algorithmic trading. Attend industry meetups or webinars to make connections that could lead to referrals.
β¨Tip Number 3
Brush up on your Java and Linux skills by working on personal projects or contributing to open-source trading systems. Practical experience can set you apart from other candidates.
β¨Tip Number 4
Prepare for technical interviews by practising coding challenges related to algorithm development and trading systems. Websites like LeetCode or HackerRank can be great resources for this.
We think you need these skills to ace Algorithmic Trading Developer
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your expertise in Java, Linux, and Object-Oriented Design. Include specific examples of your experience developing trading systems for Equities, Futures, or Derivatives.
Craft a Strong Cover Letter: Write a cover letter that showcases your knowledge of market microstructure and trading workflows. Explain how your skills align with the requirements of the Algorithmic Trading Developer role.
Showcase Relevant Projects: If you have worked on any relevant projects, especially those involving trading algorithms, be sure to include them in your application. Detail your role and the technologies used.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects your attention to detail, which is crucial in the financial sector.
How to prepare for a job interview at LinkedIn
β¨Showcase Your Technical Skills
Be prepared to discuss your expertise in Java, Linux, and object-oriented design. Bring examples of past projects where you developed trading systems, and be ready to explain your thought process and the challenges you faced.
β¨Understand Market Microstructure
Familiarise yourself with the intricacies of equities market microstructure and trading workflows. Being able to discuss these concepts will demonstrate your knowledge and passion for algorithmic trading.
β¨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges related to trading algorithms, as this will help you think on your feet during the interview.
β¨Emphasise Team Collaboration
Since the role is part of an agile team, highlight your experience working collaboratively in a professional environment. Share examples of how you've contributed to team success and adapted to feedback.