Software Developer - Data Pipelines (Python)

Main Function

Squarepoint is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms. With main investment offices in New York, London, and Singapore, we emphasize true, global collaboration by aligning our investment, technology, and operations teams functionally around the world.

Responsibilities

• Acquire a deep understanding of the data requirements of investment research teams to deliver the right solutions to them.
• Design, implement, test, optimize and troubleshoot Python data applications, frameworks, and services.
• Collaborate with technologists and investment researchers to ensure that our data applications and data platform meet evolving business requirements.
• Work closely with data operations and data platform developers to improve our data platform and reduce our technical debt; increase the team's quality of life.
• Write and review technical documents, such as requirements docs for researchers, design docs to propose new platform solutions, and production support runbooks.
• Regularly take the lead on production support operations - during normal working hours only.

Must haves

• Only candidates with more than 3 full years of relevant experience will be considered.
• Bachelor's degree in a STEM subject.
• Strong skills programming in Python.
• 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

• 3+ years designing, testing, optimizing and troubleshooting data intensive applications, or similar.
• Experience analyzing and organizing data.
• Experience with big data frameworks, databases, distributed systems, Cloud or Web development.
• Experience with any of these: SQL, JavaScript, TypeScript, React, C++, kdb+/q, Rust.