Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Enhance equity research and trading infrastructure through data pipelines and tools.
- Company: Leading investment firm in London with a world-class platform.
- Benefits: Competitive compensation and full-time position with growth opportunities.
- Why this job: Collaborate with experts and make an impact in the finance industry.
- Qualifications: 2+ years of experience, strong Python skills, and equity market knowledge.
- Other info: Dynamic team environment with opportunities for professional development.
The predicted salary is between 43200 - 72000 £ per year.
A leading investment firm in London is seeking a Quant Developer to enhance its equity research and trading infrastructure. You will collaborate with Portfolio Managers, Researchers, and Engineers to develop data pipelines and production-grade tools, supporting systematic and discretionary strategies.
The role requires:
- 2+ years of experience
- Strong Python skills
- A good understanding of equity market data
This is a full-time position offering competitive compensation and the opportunity to work within a world-class investment platform.
Equities Quant Developer — Trading Infrastructure (London) employer: CW Talent Solutions
Contact Detail:
CW Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Equities Quant Developer — Trading Infrastructure (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at investment firms. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to equity market data. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of trading infrastructure. Practice common quant problems and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Equities Quant Developer — Trading Infrastructure (London)
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python experience in your application. We want to see how you've used it in real-world scenarios, especially in developing tools or data pipelines. Don't just say you're good at it; give us examples!
Know Your Equity Market Data: Since this role is all about enhancing trading infrastructure, it's crucial to demonstrate your understanding of equity market data. We love candidates who can discuss their insights and experiences with market data, so don't hold back!
Collaborate Like a Pro: This position involves working closely with Portfolio Managers, Researchers, and Engineers. In your application, share any experiences where you’ve successfully collaborated with others. We’re looking for team players who can communicate effectively!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come through our platform!
How to prepare for a job interview at CW Talent Solutions
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be prepared to discuss your previous projects and how you've used Python to solve complex problems, especially in relation to equity market data.
✨Understand the Equity Market Landscape
Familiarise yourself with current trends and challenges in the equity markets. This will not only help you answer questions more effectively but also show your genuine interest in the field and the role.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities and coding skills. Practice coding challenges related to data pipelines and trading algorithms, as these are likely to come up during the interview.
✨Showcase Your Collaboration Skills
Since the role involves working closely with Portfolio Managers and Researchers, be ready to discuss examples of how you've successfully collaborated in past roles. Highlight your communication skills and ability to work in a team.
