Quant Developer (Python)

About the role

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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