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- Tasks: Research and implement trading strategies using advanced statistical methods.
- Company: Dynamic trading firm focused on automated strategies and innovation.
- Benefits: Competitive salary, bonuses, health benefits, and 401(k) contributions.
- Why this job: Join a cutting-edge team and make an impact in the trading world.
- Qualifications: Strong quantitative background and programming skills required.
- Other info: Fast-paced environment with opportunities for growth and collaboration.
The predicted salary is between 42000 - 84000 £ per year.
Research and implement strategies within the firm’s automated trading framework. Analyse large data sets using advanced statistical methods to identify trading opportunities. Develop a strong understanding of market structure of various exchanges and asset classes.
Typical Day of Quant Researcher:
- Primary focus throughout the day is on researching and implementing trading ideas.
- Before market open, check that all required data and related processes are ready for the trading day.
- During market hours, sporadically monitor behaviour and performance of strategies.
Required Qualifications:
- Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics.
- Programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python).
- Strong communication skills and ability to work well with colleagues across multiple regions.
- Ability to work well under pressure.
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.
Senior Quant Researcher - Intraday Statistical Arbitrage employer: Squarepoint Capital
Contact Detail:
Squarepoint Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quant Researcher - Intraday Statistical Arbitrage
✨Tip Number 1
Network like a pro! Reach out to professionals in the trading and quant research space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects or analyses that demonstrate your programming prowess and statistical knowledge. This can really set you apart during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and statistical methods. Practice common quant interview questions and be ready to discuss your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Quant Researcher - Intraday Statistical Arbitrage
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your quantitative background and programming skills in your application. We want to see how your experience aligns with the role of a Senior Quant Researcher, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your familiarity with statistical methods and market structures, as these are key to what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Squarepoint Capital
✨Know Your Stats
Brush up on your statistical methods and be ready to discuss how you've applied them in real-world scenarios. Be prepared to explain your thought process when analysing data sets and identifying trading opportunities.
✨Show Off Your Coding Skills
Make sure you’re comfortable discussing your programming experience, especially with languages like Python or C++. You might even be asked to solve a coding problem on the spot, so practice some common algorithms and data structures beforehand.
✨Understand Market Structures
Familiarise yourself with the market structures of various exchanges and asset classes. Being able to articulate how these factors influence trading strategies will show that you have a solid grasp of the industry.
✨Communicate Clearly
Strong communication skills are key, especially when working with colleagues across different regions. Practice explaining complex concepts in simple terms, as this will demonstrate your ability to collaborate effectively.
