Please only apply to the one job you feel best fits your skillset and experience. If our team feels you are better suited for another role, we will reach out about the alternate opportunity.

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 offices around the globe, we emphasize true, global collaboration by aligning our investment, technology and operations teams functionally around the world.

Role Overview:

Squarepoint Capital is seeking smart, self-driven and inquisitive individuals who want an opportunity to apply their advanced skills and knowledge in a challenging and innovative environment.

Projects within this role focus on developing and maintaining performance sensitive, reliable and scalable back-ends which are critical to our trading infrastructure. You will work alongside experienced colleagues, in small groups, to design and build the next generation of production grade trading and research software systems. Step into a career of continuous learning and development, surrounded by some of the most talented individuals in the industry, and grow your skills in a highly collegiate work environment.

When applying, you can indicate your preference for one or more of the following tracks. We will however work to ensure your role at Squarepoint is best suited to your skillset.

Python Development: Applications, services, and data driven systems

Projects within this track focus on developing and maintaining scalable services, full-stack web applications, and data processing algorithms, tools, and frameworks.

• Build and maintain the core tooling, libraries, and frameworks we use for developing applications at Squarepoint,
• Manage the software development lifecycle of libraries and frameworks used globally by our teams of technologists,
• Contribute to data driven applications, pipelines, and systems used to feed predictive models in research and trading,
• Build software products used worldwide by traders, researchers, data scientists, and other teams at Squarepoint to fuel our trading success.

C++ Development: Distributed, low latency, high performance systems 

Projects within this track focus on developing and maintaining performance sensitive, reliable and scalable back-ends which are critical to our trading infrastructure.

• Work on high performance, low-latency systems powering critical trading operations,
• Drive the design and implementation of trading frameworks, market data solutions and global market connectivity,
• Build massively parallel, high-volume, distributed applications to enable our technology to scale as we grow,
• Create distributed frameworks, tools, and platforms which process massive volumes of data and underpin the stack used by other technology teams.

Front-End Development: Build modern React web applications 

Projects within this track utilize your proficiency in React and Typescript to build crucial functionality for our users across the world.

• Enhance your users' experience on our sophisticated research and trading platforms,
• Collaborate with our expert team to develop fully-fledged dashboards facilitating real-time data access, and support the exploration of large volumes of data integral to our trading workflows and operations,
• Build web applications to drive rapid decision-making and uphold our competitive edge in a high-stakes trading environment.

Quantitative Development: Analytics and investment research

• Combine one or more of the above development tracks into a role working on the front line of our quantitative research business.
• Apply your understanding of our business requirements in order to design and implement scalable data processing workflows and processes.
  • Work with quantitative researchers to design and build efficient and scalable workflows for alpha generation,
  • Contribute to our world-class suite of data-driven analytics across a wide range of asset classes,
  • Collaborate closely with peers across our global Investment and Technology departments,
  • Challenge yourself to propose and develop new solutions to problems with a direct commercial impact.

Required Qualifications:  

• Degree in Computer Science, Computer Engineering, or other degree with a heavy emphasis on software development,
• Proficiency in at least one of our core languages: Python, C++, or KDB+/q, JavaScript/TypeScript/React,
• Some experience developing software in a commercial setting, demonstrated through work experience or personal projects,
• Knowledge of Linux and version control systems,
• Excellent written and verbal communication skills,
• Eagerness to continuously learn new technologies and develop with us,
• Ability to work well in a fast-paced environment.

Nice to have:

• Proficiency in more than one of our core programming languages,
• Previous experience working in the hedge fund industry, or finance generally,
• Demonstrable experience working with git and Linux.