Junior Quant Developer

As a Quant Developer at Square point you will work side-by-side with Quant Researchers and Traders to implement novel trading strategies and software for research projects. You could develop tools to apply advanced statistical methods in order to identify new trading opportunities and to monitor their impact over time. You could also develop improvements to our trading strategies through the running and thorough analysis of backtesting simulations across vast amounts of proprietary your project, you will drive cross-team initiatives at Square point and will gain an excellent chance to learn from some of the world's most knowledgeable industry experts as you work towards our continued innovation in the quant research space.

Degree in Applied Math, Physics
Engineering, Quantitative Finance, Computer Science or other quantitative disciplines

Up to 4 years of experience in a relevant role such as software or quant development

Proficiency, in at least one of Python, C++, or KDB+/qStrong interest in, or knowledge of finance and the global markets

Ability to work effectively with AI tools and systems, including demonstrable experience using them collaboratively to enhance software development, data analysis, or research workflows.

Experience working with git and Linux 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:

Master's degree or higher with emphasis in a highly quantitative discipline

Deep knowledge of financial markets in at least one domain or asset class

Experience with database management systems and related technologies such as SQL Experience working with financial data in a similar role