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Home›Jobs›Squarepoint Capital›Quant Developer (Python)
Squarepoint Capital

About Squarepoint Capital

Data-driven investment management for superior returns

🏢 Finance, Corporate, Management Consulting👥 251-1K📅 Founded 2014📍 London, Greater London, United Kingdom

Key Highlights

  • Headquartered in London, UK with a global presence
  • Over 300 employees specializing in quantitative strategies
  • Focus on institutional clients with a diverse portfolio
  • Strong emphasis on risk management and technology

Squarepoint Capital is a prominent investment management firm headquartered in London, specializing in quantitative trading and investment strategies. With a team of over 300 professionals, Squarepoint leverages advanced technology and data analytics to manage a diverse portfolio for institutional c...

🎁 Benefits

Squarepoint Capital offers competitive salaries, performance-based bonuses, comprehensive health benefits, and a generous PTO policy. Employees also h...

🌟 Culture

Squarepoint Capital fosters a culture of intellectual rigor and innovation, emphasizing data-driven decision-making and collaboration among its teams....

🌐 Website💼 LinkedInAll 83 jobs →
Squarepoint Capital

Quant Developer (Python)

Squarepoint Capital • London, Montreal, Warsaw

Posted 1 month ago🏛️ On-SiteMid-LevelQuantitative analyst📍 Boston📍 Dubai📍 London📍 Montreal📍 Warsaw
Apply Now →

Job Description

Position Overview:

The Quantitative Development team works directly with quantitative researchers to design, implement, deploy and use software for research and trading. As part of the technology team, the team follows modern software development principles and works with peers in technology to mature and evolve these tools for wider use. Quantitative developers drive cross-team initiatives with technologists and quantitative researchers across all asset classes to achieve Squarepoint’s objectives.

  • Work with quantitative researchers to design and build efficient and scalable workflows for research and trading
  • Collaborate closely with team members and peers in technology to ensure global consistency and maximize re-use of software components
  • Assume strong ownership of projects throughout their full engineering lifecycle
  • Provide level 2 support for critical components

Required qualifications:

  • Degree in applied math, physics, engineering, quantitative finance, computer science
  • 4 or more years’ experience with Python, C++, or KDB+/q
  • Knowledge of finance, data storage, processing and analysis
  • Experience with modern software development: version control, agile development
  • Excellent technical communication skills

Nice to have:

  • Advanced quantitative skills
  • Experience with requirements analysis and designing software solutions
  • Experience with continuous integration (CI), logging and monitoring systems
  • Database experience

 

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