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- Tasks: Research and implement trading strategies using advanced statistical methods.
- Company: Join Squarepoint Capital, a leading firm in automated trading.
- Benefits: Enjoy competitive salary, bonuses, health plans, and 401(k) contributions.
- Why this job: Be part of a dynamic team that drives innovation in trading and market analysis.
- Qualifications: Degree in quantitative fields and proficiency in programming languages like Python or C++ required.
- Other info: Work in a fast-paced environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
Position Overview:
Typical Day of Quant Researcher:
Required Qualifications:
The minimum base salary for this role is $60,000 if located in New York. This expectation is based on available information at the time of posting. This role may be eligible for discretionary bonuses, which could constitute a significant portion of total compensation. This role may also be eligible for benefits, such as health, dental, and other wellness plans, as well as 401(k) contributions. Successful candidates’ compensation and benefits will be determined in consideration of various factors.
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Senior Quant Researcher - CTA/Short-Term employer: Squarepoint Capital
Contact Detail:
Squarepoint Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quant Researcher - CTA/Short-Term
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative research and automated trading. Being well-versed in current methodologies and technologies will not only boost your confidence but also impress the hiring team at Squarepoint Capital.
✨Tip Number 2
Network with professionals in the quant finance space, especially those who work in similar roles. Attend industry conferences or webinars to make connections and gain insights that could give you an edge during interviews.
✨Tip Number 3
Brush up on your programming skills, particularly in Python or C++. Consider working on personal projects or contributing to open-source initiatives that showcase your ability to analyse data and implement trading strategies.
✨Tip Number 4
Prepare to discuss your previous experiences with intraday trading and data analysis. Be ready to share specific examples of how you've identified trading opportunities and the statistical methods you employed to validate your findings.
We think you need these skills to ace Senior Quant Researcher - CTA/Short-Term
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative background and relevant experience in trading strategies. Emphasise your programming skills, especially in languages like Python or C++, as well as any experience with intraday trading.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in the Senior Quant Researcher position at Squarepoint Capital. Discuss your understanding of market structures and how your skills can contribute to their automated trading framework.
Showcase Relevant Projects: If you've worked on projects involving large data sets or statistical analysis, be sure to include these in your application. Highlight specific outcomes and what tools or methods you used to achieve them.
Prepare for Technical Questions: Anticipate technical questions related to quantitative analysis and programming during the interview process. Brush up on your knowledge of statistical methods and be ready to discuss how you've applied them in real-world scenarios.
How to prepare for a job interview at Squarepoint Capital
✨Showcase Your Quantitative Skills
Make sure to highlight your quantitative background during the interview. Discuss your degrees and any relevant projects that demonstrate your proficiency in Mathematics, Statistics, or Financial Engineering. Be prepared to explain complex concepts in a way that's easy to understand.
✨Demonstrate Programming Proficiency
Since programming is crucial for this role, be ready to discuss your experience with languages like Python, C++, or Java. You might even be asked to solve a coding problem on the spot, so brush up on your coding skills and be familiar with algorithms related to data analysis.
✨Understand Market Structures
Familiarise yourself with the market structures of various exchanges and asset classes. Be prepared to discuss how these structures impact trading strategies and provide examples of how you've applied this knowledge in past roles or projects.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to analyse data and make decisions under pressure. Practice articulating your thought process when faced with hypothetical trading situations, and be ready to critically evaluate the outcomes of your strategies.
