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For Companies At a Glance
- Tasks: Join us to design and develop cutting-edge trading platforms and strategies.
- Company: Be part of a leading Capital Markets firm in the heart of London.
- Benefits: Enjoy a competitive salary, bonuses, and flexible 3-day work weeks.
- Why this job: Work on innovative projects that shape the future of trading and finance.
- Qualifications: Expertise in Java, Linux, and experience with trading systems is essential.
- Other info: Ideal for tech-savvy individuals passionate about finance and algorithmic trading.
The predicted salary is between 78000 - 182000 £ per year.
Our Capital Markets Client are looking for an Algorithmic Trading Developer to join the team. You will design, develop, test and monitor a Global Algorithmic Trading Platform and Low Latency Trading Strategies. They are looking to offer up to c£130,000 + Bonus + Package, 3 days a week in the city of London.
We are looking for:
- Expert proficiency with Java, Linux and Object Orientated Design / Programming.
- Experience developing Trading Systems (backend) for Equities, Futures, or Listed Derivatives.
- Track history operating in Equities Market (understand micro structure and Trading workflows).
- Aptitude implementing quantitative models, perform statistical data analysis, data visualisation, conduct simulation and back end testing strategies.
Please send your CV to AMRT1_UKTJ ...
Algorithmic Trading Developer £130k + Benefits, London 3 Days employer: Harvey Nash Careers
Contact Detail:
Harvey Nash Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Algorithmic Trading Developer £130k + Benefits, London 3 Days
✨Tip Number 1
Make sure to brush up on your knowledge of Java and Linux, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that showcase your skills in Object-Oriented Design and Programming.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in algorithmic trading. Attend webinars or workshops related to trading systems and low latency strategies to demonstrate your commitment and passion for the field.
✨Tip Number 3
Network with professionals in the capital markets sector. Join relevant online forums or LinkedIn groups where you can engage with others in the industry, share insights, and potentially get referrals for the position.
✨Tip Number 4
Prepare to discuss your experience with quantitative models and statistical data analysis during interviews. Be ready to provide examples of how you've implemented these in past projects, as this will highlight your practical knowledge and problem-solving abilities.
We think you need these skills to ace Algorithmic Trading Developer £130k + Benefits, London 3 Days
Some tips for your application 🫡
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 and any relevant projects you've worked on.
Showcase Relevant Experience: Emphasise your background in the equities market and your understanding of trading workflows. Mention any quantitative models you've implemented and your experience with statistical data analysis.
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences directly to the job description. Explain why you're passionate about algorithmic trading and how you can contribute to the team.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial in this field.
How to prepare for a job interview at Harvey Nash Careers
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency 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.
✨Understand Market Microstructure
Demonstrate your knowledge of the equities market and trading workflows. Be ready to discuss how microstructure impacts trading strategies and provide insights into how you've navigated these complexities in previous roles.
✨Quantitative Models and Data Analysis
Prepare to talk about your experience with implementing quantitative models and performing statistical data analysis. Highlight any specific tools or techniques you've used for data visualisation and backtesting strategies.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the role and the company. Inquire about their current trading strategies, the technology stack they use, or how they measure success in their algorithmic trading initiatives.
