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- Tasks: Research and implement trading strategies using advanced statistical methods.
- Company: Dynamic firm focused on automated trading and innovative market solutions.
- Benefits: Competitive salary, bonuses, health benefits, and 401(k) contributions.
- Why this job: Make a real impact in the trading world with your quantitative skills.
- Qualifications: Degree in a quantitative field and programming proficiency in languages like Python or Java.
- Other info: Collaborative environment with opportunities for growth and success.
The predicted salary is between 36000 - 60000 £ per year.
Research and implement strategies within the firm’s automated trading framework. Analyze 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.
- Proven ability to run successful long term strategies on Equities.
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 - Equity Mid / Low Frequency employer: Squarepoint Capital
Contact Detail:
Squarepoint Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quant Researcher - Equity Mid / Low Frequency
✨Tip Number 1
Network like a pro! Reach out to professionals in the quant research field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data analysis and trading strategies. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and market trends. Be ready to discuss your past experiences and how they relate to the role of a Senior Quant Researcher.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes tracking your application super easy for us.
We think you need these skills to ace Senior Quant Researcher - Equity Mid / Low Frequency
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 expertise in Mathematics, Statistics, or Computer Science can contribute to our trading strategies.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Senior Quant Researcher role. Mention any relevant experience with automated trading frameworks or market analysis that aligns with what we’re looking for.
Communicate Clearly: Strong communication skills are key for us. In your cover letter, explain complex concepts in a way that’s easy to understand. This shows us you can work well with colleagues across different regions and disciplines.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Squarepoint Capital
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific statistical methods you've used in past projects. Be prepared to explain how you analyse large data sets and identify trading opportunities, as this will show your depth of knowledge.
✨Programming Proficiency is Key
Make sure you can confidently talk about your experience with programming languages like C++, Java, or Python. Consider preparing a small coding challenge or example project to showcase your skills during the interview.
✨Market Structure Savvy
Familiarise yourself with the market structures of various exchanges and asset classes. Being able to discuss how these factors influence trading strategies will demonstrate your understanding and readiness for the role.
✨Communication is Crucial
Since you'll be working with colleagues across multiple regions, practice articulating complex ideas clearly and concisely. Think of examples where you've successfully collaborated with others, especially under pressure, to highlight your teamwork skills.
