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Squarepoint Capital

Manages quant-driven, systematic portfolios globally

Quantitative Developer - Python

Quantitative DevelopmentConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • A degree in applied mathematics, physics, engineering, quantitative finance, or computer science.
  • At least 4 years of experience with Python, C++, or KDB+/q.
  • Knowledge of finance, data storage, data processing, and data analysis.
  • Experience with modern software development, including version control and agile development.
  • Strong technical communication skills.

Responsibilities

  • Work with quantitative researchers to design and build efficient and scalable workflows for research and trading.
  • Collaborate with team members and technology peers to ensure global consistency and maximize reuse of software components.
  • Own projects throughout their full engineering lifecycle.
  • Provide level 2 support for critical components.

Desired Qualifications

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

About the Company

Squarepoint Capital

Manages quant-driven, systematic portfolios globally

Squarepoint Capital is a global investment manager that uses quantitative and systematic strategies to build diversified portfolios across asset classes, trading frequencies, and global markets for institutional investors. Its approach relies on a large data platform and advanced technology to power research and model-based trading decisions, with portfolios continually adjusted in response to market data. The firm differentiates itself through a broad, multi-asset, multi-frequency framework, a global footprint with offices in thirteen cities, and a collaborative culture that emphasizes rigorous research and disciplined execution. Its goal is to deliver attractive, risk-aware returns for pension funds, endowments, and sovereign wealth funds through systematic, data-driven investment processes.

Company size
501-1,000
Company stage
Not listed
Total funding
$1.4B
Headquarters
London, United Kingdom
Founded
2014

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