Junior Quant Developer
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Before you apply
LocationLondon, Montreal, Singapore
Typefull-time
SeniorityEntry
ExperienceUp to 4 yrs
DepartmentTechnology
Company size1,001–5,000 people
PostedJun 14, 2024 · 2y ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on Jun 14, 202473% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
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
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
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
Skills
Python
C++
KDB+/q
SQL
git
Linux
AI tools
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.
Position 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
•
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
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