Quant Developer (Python)
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Summary
Designs, builds and deploys software for quantitative research and trading at Squarepoint, working day-to-day with quant researchers and technologists across asset classes. Core stack is Python plus modern engineering practices (version control, agile, CI, logging/monitoring).
Position Overview:
The Quantitative Development team works directly with quantitative researchers to design, implement, deploy and use software for research and trading. 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
Required qualifications:
- Degree in applied math, physics, engineering, quantitative finance, computer science
- 4 or more years’ experience with Python
- 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