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Home›Jobs›Squarepoint Capital›Software Developer - Data Pipelines (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 82 jobs →
Squarepoint Capital

Software Developer - Data Pipelines (Python)

Squarepoint Capital • London, Montreal, Madrid, Bangalore

Posted 1 month ago🏛️ On-SiteMid-LevelSoftware engineering📍 London📍 Montreal📍 Madrid📍 Bangalore
Apply Now →

Job Description

Position Overview:

We are seeking an experienced Python developer to join our Alpha Data team, responsible for delivering a vast quantity of data served to users worldwide. You will be a cornerstone of a growing Data team, becoming a technical subject matter expert and developing strong working relationships with quant researchers, traders, and fellow colleagues across our Technology organization.

Alpha Data teams are able to deploy valuable data to the rest of the Squarepoint business at speed. Ingestion pipelines and data transformation jobs are resilient and highly maintainable, while the data models are carefully designed in close collaboration with our researchers for efficient query construction and alpha generation.

We achieve an economy of scale through building new frameworks, libraries, and services used to increase the team's quality of life, throughput, and code quality. Teamwork and collaboration are encouraged, excellence is rewarded and diversity of thought and creative solutions are valued. Our emphasis is on a culture of learning, development, and growth.

  • Take part ownership of our ever-growing estate of data pipelines,
  • Propose and contribute to new abstractions and improvements - make a real positive impact across our team globally,
  • Design, implement, test, optimize and troubleshoot our data pipelines, frameworks, and services,
  • Collaborate with researchers to onboard new datasets,
  • Regularly take the lead on production support operations - during normal working hours only.

Required Qualifications:

  • 4+ years of experience coding to a high standard in Python,
  • Bachelor's degree in a STEM subject,
  • Experience with and knowledge of SQL, and one or more common RDBMS systems (we mostly use Postgres),
  • Practical knowledge of commonly used protocols and tools used to transfer data (e.g. FTP, SFTP, HTTP APIs, AWS S3),
  • Excellent communication skills.

Nice to haves

  • Experience with big data frameworks, databases, distributed systems, or Cloud development.
  • Experience with any of these: C++, kdb+/q, Rust.

Interested in this role?

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