Senior Quant Dev: Trading Infra, London Desk

Senior Quant Dev: Trading Infra, London Desk

Full-Time 70000 - 85000 Β£ / year (est.) No working from home possible
Mondrian Alpha

At a Glance

  • Tasks: Build and optimise trading systems while collaborating with quantitative researchers.
  • Company: Mondrian Alpha, a leading investment firm in London.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
  • Other info: Exciting role with potential for significant career advancement.
  • Why this job: Join a cutting-edge team and directly impact investment strategies.
  • Qualifications: 5+ years of experience in live trading systems and strong Python/SQL skills.

The predicted salary is between 70000 - 85000 Β£ per year.

Mondrian Alpha in London is seeking an experienced Quantitative Developer to work directly for a Portfolio Manager on desk.

You will help build and optimize trading and research infrastructure to support our investment strategy, partnering with quantitative researchers to implement algorithms and improve performance.

The successful candidate will bring 5+ years on-desk experience designing live trading systems, strong Python, SQL/database skills, and the ability to own projects end-to-end.

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Senior Quant Dev: Trading Infra, London Desk employer: Mondrian Alpha

Mondrian Alpha is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters collaboration and innovation. Employees benefit from competitive compensation packages, including market-leading bonuses, and have ample opportunities for professional growth within a supportive environment. Joining our team means being part of a forward-thinking organisation that values your contributions and encourages your development in the financial sector.

Mondrian Alpha

Contact Details:

Mondrian Alpha Recruitment Team

We think you need these skills to ace Senior Quant Dev: Trading Infra, London Desk

Python
Communication Skills
Problem-Solving Skills
SQL
Automation
Attention to Detail
Data Engineering