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For Companies At a Glance
- Tasks: Join a dynamic team to build trading algorithms and frameworks.
- Company: Work with a top investment bank in the heart of London.
- Benefits: Enjoy a competitive salary and opportunities for professional growth.
- Why this job: Be part of a fast-paced environment that shapes the future of trading.
- Qualifications: 5+ years in front-office trading tech and strong Java skills required.
- Other info: Streamlined 5-stage interview process for quick onboarding.
The predicted salary is between 72000 - 108000 £ per year.
We’re hiring a Quantitative Developer to join a leading investment bank’s front-office trading team in London.
What You’ll Do:
- Build scalable frameworks for smart order routing & execution strategies
- Design & implement equities trading algorithms
- Collaborate with traders, quants, and engineers
- Work in a low-latency, high-performance environment
What We’re Looking For:
- 5+ years in front-office trading tech
- Strong Java (low-latency systems); kdb+/q or C++ a plus
- Experience with electronic cash equities / algo trading
- Degree in CS, Financial Engineering, or similar
Location: London
Process: Streamlined 5-stage interview
Contact Detail:
JobFlurry Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP Quantitative Developer - Java
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and trading technologies. Being well-versed in current market practices will not only boost your confidence but also impress the interviewers with your up-to-date knowledge.
✨Tip Number 2
Network with professionals in the investment banking sector, especially those working in quantitative roles. Attend industry events or join relevant online forums to make connections that could provide insights or even referrals for the position.
✨Tip Number 3
Brush up on your Java skills, particularly in low-latency systems. Consider working on personal projects or contributing to open-source projects that demonstrate your ability to build scalable frameworks and algorithms.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges related to algorithm design and system optimisation. This will help you articulate your thought process clearly during the interview and showcase your problem-solving abilities.
We think you need these skills to ace VP Quantitative Developer - Java
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the VP Quantitative Developer position. Understand the key responsibilities and required skills, especially focusing on Java and low-latency systems.
Tailor Your CV: Highlight your relevant experience in front-office trading technology and any specific projects that demonstrate your skills in Java, kdb+/q, or C++. Make sure to quantify your achievements where possible.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the role. Emphasise your experience with equities trading algorithms and your ability to work in a collaborative, high-performance environment.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. Ensure that your application is polished and professional, as attention to detail is crucial in this field.
How to prepare for a job interview at JobFlurry
✨Showcase Your Technical Skills
As a VP Quantitative Developer, you'll need to demonstrate your expertise in Java and low-latency systems. Be prepared to discuss specific projects where you've built scalable frameworks or implemented trading algorithms, highlighting your problem-solving skills and technical knowledge.
✨Understand the Trading Environment
Familiarise yourself with the front-office trading landscape, especially electronic cash equities and algorithmic trading. Being able to speak fluently about market trends and trading strategies will show that you’re not just a developer but also understand the business side of things.
✨Collaborate Effectively
Since the role involves working closely with traders, quants, and engineers, be ready to discuss your experience in collaborative environments. Share examples of how you've successfully worked in teams to deliver complex projects, emphasising communication and teamwork.
✨Prepare for Technical Questions
Expect a range of technical questions during the interview process. Brush up on your knowledge of Java, kdb+/q, and C++. Practising coding problems and system design scenarios can help you articulate your thought process clearly and confidently.