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- Tasks: Join a dynamic team to analyse trading strategies and manage large datasets.
- Company: Be part of an innovative firm at the forefront of automated trading.
- Benefits: Enjoy opportunities for career growth and collaboration with experienced professionals.
- Why this job: Gain hands-on experience in finance and tech while making a real impact.
- Qualifications: Must have a degree in Engineering, Computer Science or a related field.
- Other info: Potential to secure a Junior position in Quantitative Development or Research after the programme.
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:
We are looking for highly motivated graduates or early career professionals with an interest in finance and a background in computer science, engineering, mathematics or other STEM degrees to join our Desk Quant Analyst three-year program.
You will spend these three years working in close collaboration with experienced Quantitative Researchers and Traders to understand the constantly evolving needs of the trading desks.
- Maintain and upgrade the codebase and configuration of strategies within the firm’s automated trading framework.
- Manage large datasets used in both research and production environments.
- Perform live as well as historical monitoring of trading activities. For instance, do some post-trade analysis or production reconciliation.
- Opportunity to secure a Junior position in Quantitative Development or in Quantitative Research at the end of the program subject to individual performance.
Typical Day of Desk Quant Analyst:
- Before market open, check that all required data and related processes are ready for the trading day.
- During market hours, sporadically monitor behavior and performance of strategies.
- Work on various longer-term projects required for expanding our systematic trading activities and ensuring their robustness.
Required Qualifications :
- Degree in Engineering, Computer Science or related technical subject.
- Programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python).
- Great attention to detail.
- Strong communication skills and ability to work well with colleagues across multiple regions.
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Desk Quant Analyst employer: Squarepoint Capital
Contact Detail:
Squarepoint Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Desk Quant Analyst
✨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 languages like Python or C++. Consider working on personal projects or contributing to open-source projects that showcase your coding abilities relevant to quantitative analysis.
✨Tip Number 3
Network with professionals in the finance and quantitative fields. Attend industry events, webinars, or join online forums where you can connect with others who work in similar roles. This could lead to valuable insights and potential referrals.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and coding challenges. Websites like LeetCode or HackerRank can be great resources to sharpen your skills and get comfortable with the types of questions you might face.
We think you need these skills to ace Desk Quant Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your degree in Engineering, Computer Science, or a related technical subject. Emphasise any relevant programming skills, particularly in languages like C++, Java, or Python, as well as any projects that showcase your attention to detail.
Craft a Strong Cover Letter: In your cover letter, express your motivation for applying to the Desk Quant Analyst position. Discuss your interest in finance and how your background in STEM aligns with the role. Mention any relevant experiences that demonstrate your ability to work collaboratively and manage large datasets.
Showcase Relevant Projects: If you have worked on any projects related to quantitative analysis, trading strategies, or data management, be sure to include these in your application. Highlight your role in these projects and the skills you developed, especially those that relate to monitoring trading activities or post-trade analysis.
Proofread Your Application: Before submitting your application, take the time to proofread all documents. Check for any spelling or grammatical errors, and ensure that your information is clear and concise. A polished application reflects your attention to detail, which is crucial for this role.
How to prepare for a job interview at Squarepoint Capital
✨Showcase Your Technical Skills
Make sure to highlight your programming proficiency in languages like C++, Java, or Python. Be prepared to discuss specific projects or experiences where you applied these skills, as this will demonstrate your technical capability and relevance to the role.
✨Demonstrate Attention to Detail
Since the role requires great attention to detail, provide examples from your academic or professional experience where your meticulousness made a difference. This could be in coding, data analysis, or any project where precision was key.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical thinking and problem-solving abilities. Practice common quantitative problems or case studies related to trading strategies, as this will help you articulate your thought process during the interview.
✨Communicate Effectively
Strong communication skills are essential for this role. Be ready to explain complex concepts in simple terms and demonstrate your ability to collaborate with colleagues across different regions. Practising clear and concise explanations can help you stand out.
