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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:

As a Quant Developer at Squarepoint 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 data.

Whatever your project, you will drive cross-team initiatives at Squarepoint 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.

Required Qualifications:

• 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+/q
• Strong interest in, or knowledge of finance and the global markets
• 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