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- Tasks: Collaborate with experts to develop innovative trading strategies and software.
- Company: Join Squarepoint, a leader in quantitative research and trading.
- Benefits: Enjoy opportunities for learning, growth, and collaboration in a dynamic environment.
- Why this job: Gain hands-on experience in finance while working with industry leaders on impactful projects.
- Qualifications: Degree in a quantitative field and proficiency in Python, C++, or KDB+/q required.
- Other info: Ideal for those eager to learn and thrive in a fast-paced setting.
The predicted salary is between 36000 - 60000 £ per year.
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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
- 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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Quant Developer employer: Squarepoint Capital
Contact Detail:
Squarepoint Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and trading strategies. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your programming skills, especially in Python, C++, or KDB+/q. Consider working on personal projects or contributing to open-source projects that showcase your coding abilities and understanding of quantitative methods.
✨Tip Number 3
Network with professionals in the quant finance space. Attend industry meetups, webinars, or conferences to connect with potential colleagues and learn more about the company culture at Squarepoint.
✨Tip Number 4
Prepare to discuss your experience with backtesting simulations and data analysis. Be ready to share specific examples of how you've used these skills in previous roles, as this will demonstrate your practical knowledge and problem-solving abilities.
We think you need these skills to ace Quant Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in quantitative development, particularly any projects involving Python, C++, or KDB+/q. Emphasise your educational background in applied mathematics or related fields.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to implement trading strategies and work with large datasets.
Showcase Technical Skills: Clearly outline your proficiency in programming languages and tools mentioned in the job description. Provide examples of how you've used these skills in previous roles, especially in relation to finance and trading.
Highlight Communication Skills: Since excellent communication is crucial for this role, include examples of how you've effectively communicated complex ideas or collaborated with teams in fast-paced environments. This will show you can work well with Quant Researchers and Traders.
How to prepare for a job interview at Squarepoint Capital
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python, C++, or KDB+/q during the interview. Be prepared to discuss specific projects where you've applied these skills, as well as any challenges you faced and how you overcame them.
✨Demonstrate Your Financial Knowledge
Since the role involves working with trading strategies, it's crucial to show your understanding of finance and global markets. Brush up on recent market trends and be ready to discuss how they might impact trading strategies.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions that assess your analytical thinking. Practice coding problems and quantitative scenarios that could arise in a trading context, as this will demonstrate your ability to think critically under pressure.
✨Communicate Clearly and Effectively
Excellent communication skills are essential for this role. Practice explaining complex concepts in simple terms, as you'll need to collaborate with both technical and non-technical team members. Clear communication can set you apart from other candidates.
