Junior Quant Developer
At a glance
Junior Data Science role at Squarepoint Capital. London.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Build software with quantitative researchers and traders to put new trading strategies and research projects into practice
- Create statistical tools that surface potential trading opportunities and track their effects over time
- Run backtests on proprietary data and examine the results to improve trading strategies
- Coordinate work across teams on quant research projects
What you bring
- A degree in applied math, physics, engineering, quantitative finance, computer science or another quantitative discipline
- At most four years of relevant experience, such as software or quant development
- Proficiency in Python, C++ or KDB+/q, plus hands-on use of AI tools in software, analysis or research workflows
- Experience with git and Linux, alongside a strong interest in finance and global markets
Who this fits
This junior role suits someone starting out in software or quant development who wants to build trading research tools and learn new technologies. You’ll work with researchers and traders and contribute across teams in a fast-paced setting. The role is based in London.
From the employer
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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