At a Glance
- Tasks: Join a leading quant trading firm as a Quantitative Developer, analysing data and enhancing trading systems.
- Company: Work with a top systematic hedge fund known for exceptional compensation and benefits.
- Benefits: Enjoy competitive pay, flexible work options, and the chance to impact real trading outcomes.
- Other info: Ideal for those with a strong academic background from a top-tier university.
- Why this job: Be part of a dynamic team, see your ideas in action, and contribute to innovative trading solutions.
- Qualifications: Strong software engineering skills, proficiency in Python/C#, and a solid understanding of quant finance are essential.
The predicted salary is between 48000 - 84000 € per year.
Job Description
Quantitative Developer - London - leading quant trading firm - exceptional comp & bens
We are working with a leading systematic hedge fund who are seeking talented Quantitative Developers to work in the front office space alongside quant researchers, data scientists and engineers of various disciplines. As an embedded quant developer, you will work closely with the business to analyse data and develop and run production signal pipelines. You will contribute ideas, tools and systems to enhance trading capabilities. Embedded engineers get to see the impact of their actions, including visibility of daily P&L attribution. The role is broad and not limited to performance optimisation, rearchitecting systems, enabling large-scale ML model training, building out research tooling and much more.
About you:
- Strong experience of software engineering and end-to-end solutions ownership.
- Proficiency with Python and / or C# (other OO languages are a plus)
- Solid understanding of software architecture, algorithms, data structures and computer science fundamentals
- Interest or experience in quant finance
- Advanced knowledge of the python data science stack (Pandas, NumPy, SciPy) is a plus
- Strong academic background from a top tier university a major plus
If this sounds of interest we'd love to hear from you! Vertex Search is acting as a recruitment agency on this engagement.
Quantitative Developer in City of London employer: Vertex Search
Join a leading quant trading firm in London, where innovation meets opportunity. As a Quantitative Developer, you'll thrive in a dynamic work culture that values collaboration and creativity, with exceptional compensation and benefits. With ample opportunities for professional growth and the chance to see the direct impact of your contributions on trading performance, this role offers a rewarding career path in the heart of one of the world's financial capitals.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer in City of London
✨Tip Number 1
Network with professionals in the quantitative finance space. Attend industry meetups, webinars, or conferences where you can connect with current Quantitative Developers and learn about their experiences. This can give you insights into what firms like ours are looking for.
✨Tip Number 2
Showcase your coding skills through personal projects or contributions to open-source projects. Having a portfolio that demonstrates your proficiency in Python or C# will make you stand out. Make sure to highlight any projects related to data analysis or financial modelling.
✨Tip Number 3
Stay updated on the latest trends in quantitative finance and machine learning. Follow relevant blogs, podcasts, or online courses to deepen your understanding of how these technologies are applied in trading. This knowledge can be a great conversation starter during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm questions. Websites like LeetCode or HackerRank can help you sharpen your problem-solving skills. Being well-prepared will boost your confidence and performance during the interview process.
We think you need these skills to ace Quantitative Developer in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your software engineering experience, particularly with Python and C#. Emphasise any projects or roles that demonstrate your understanding of algorithms, data structures, and quant finance.
Craft a Compelling Cover Letter:In your cover letter, express your enthusiasm for the role and the company. Mention specific experiences that align with the job description, such as developing production signal pipelines or working with data science tools.
Showcase Relevant Projects:If you have worked on projects related to quantitative finance or data science, include them in your application. Describe your role, the technologies used, and the impact of your contributions.
Highlight Academic Achievements:Since a strong academic background is a plus, make sure to include your educational qualifications prominently. Mention any relevant coursework or research that relates to software engineering or quantitative finance.
How to prepare for a job interview at Vertex Search
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and C#, as well as your understanding of software architecture and algorithms. Be prepared to discuss specific projects where you've applied these skills, especially in a quantitative finance context.
✨Demonstrate Problem-Solving Abilities
Quantitative Developers often face complex challenges. Prepare to discuss how you've approached problem-solving in past roles, particularly in optimising performance or rearchitecting systems. Use examples that showcase your analytical thinking and creativity.
✨Familiarise Yourself with the Company’s Work
Research the hedge fund's trading strategies and technologies they use. Understanding their approach will allow you to ask insightful questions and demonstrate your genuine interest in contributing to their success.
✨Prepare for Technical Questions
Expect technical questions related to data structures, algorithms, and the Python data science stack. Brush up on these topics and be ready to solve coding problems on the spot, as this is a common part of the interview process.
