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
CW Talent Solutions is an exceptional employer, offering a dynamic work environment in the heart of London where innovation and collaboration thrive. Employees benefit from comprehensive professional development opportunities, a supportive culture that values diverse perspectives, and the chance to make a meaningful impact in the commercial real estate sector. With a focus on employee well-being and career growth, CW Talent Solutions stands out as a rewarding place to advance your career.
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We think this is how you could land Quant Developer – Equities
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We think you need these skills to ace Quant Developer – Equities
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
