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For Companies At a Glance
- Tasks: Build and enhance equity research and trading infrastructure with cutting-edge tools.
- Company: World-renowned investment firm with a focus on innovation.
- Benefits: Competitive London salary and collaboration with global teams.
- Other info: Dynamic environment with opportunities for career growth.
- Why this job: Join a world-class platform and make an impact in finance technology.
- Qualifications: 2+ years as a Quant Developer with strong Python skills.
The predicted salary is between 48000 - 72000 £ per year.
CW Talent Solutions is partnering with a world-renowned investment firm to hire a Quantitative Developer for its London Equities team.
The Role
- Build and enhance the firm’s equity research and trading infrastructure.
- You’ll work closely with Portfolio Managers, Researchers, and Engineers to develop robust data pipelines, backtesting frameworks, and production-grade tools that support systematic and discretionary equity strategies.
Requirements
- 2+ years’ experience as a Quant Developer / Software Engineer in a trading or research environment
- Strong Python engineering skills (C++ or Java a plus)
- Experience building data pipelines, research tooling, and scalable systems
- Good understanding of equity market data and systematic or fundamental investment workflows
Why Apply?
- Join a world-class investment platform
- Competitive London compensation
- Collaborate with global quant and technology teams
Seniority level Mid-Senior level
Employment type Full-time
Job function Finance
Quant Developer – Equities employer: CW Talent Solutions
Contact Detail:
CW Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer – Equities
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at firms you’re interested in. A friendly chat can open doors and give you insights that job descriptions just can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python or data pipelines. This is your chance to demonstrate what you can bring to the table beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of equity market data. Practice common quant developer problems and be ready to discuss your thought process during interviews.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our team directly.
We think you need these skills to ace Quant Developer – Equities
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quant Developer role. Highlight your experience with Python and any relevant projects that showcase your skills in building data pipelines and trading tools.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about equity markets and how your background makes you a perfect fit for our team. Keep it concise but impactful.
Showcase Relevant Experience: When detailing your experience, focus on specific projects or roles where you've developed scalable systems or worked closely with portfolio managers. This will help us see how you can contribute to our team.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates!
How to prepare for a job interview at CW Talent Solutions
✨Know Your Tech Stack
Make sure you brush up on your Python skills, as well as any experience you have with C++ or Java. Be ready to discuss specific projects where you've built data pipelines or research tools, and how they contributed to the overall success of your team.
✨Understand the Equity Market
Familiarise yourself with equity market data and investment workflows. You might be asked about systematic versus fundamental strategies, so having a solid grasp of these concepts will help you stand out during the interview.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving abilities and coding skills. Practise coding challenges related to data structures and algorithms, and be prepared to explain your thought process clearly and concisely.
✨Show Your Collaborative Spirit
This role involves working closely with Portfolio Managers and Researchers, so be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you can contribute to a team-oriented environment.