Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Research and apply trading strategies using automated frameworks and statistical analysis.
- Company: Join a global hedge fund with a decade of successful quantitative trading experience.
- Benefits: Enjoy a dynamic work environment with cutting-edge technology and collaborative culture.
- Why this job: Be part of an interdisciplinary team making impactful trading decisions in real-time.
- Qualifications: Master's or PhD in relevant fields and proficiency in programming languages like Python or C++.
- Other info: Ideal for detail-oriented individuals who thrive under pressure and enjoy teamwork.
The predicted salary is between 43200 - 72000 £ per year.
Our client has an extensive and impressive track record of successfully running Quant trading strategies for over a decade, they spun out as a hedge fund and now operate globally. They are a highly interdisciplinary firm, operating around the intersection of trading, quant modelling and technology. Their trades are facilitated by state-of-the-art infrastructure which handles their larger trading volumes easily.
Role:
- Using the firms automated trading framework to research and apply strategies
- Using progressive statistical approaches to analyse data and ascertain opportunities for trading
- To build upon and develop strong understanding of market structures of the various exchanges and asset classes
- Pre market – checking that all required data and processes are ready
- During market – sporadically monitoring behaviour and performance of strategies
Ideal Candidate:
- Quantitative background - including Master/ PhD’s in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University
- Programming proficiency with at least one major programming or scripting language (Python, C++, and R)
- Strong communication skills and ability to work well with colleagues across multiple regions
- Ability to perform well under pressure
- Detail orientated
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative trading and market structures. This will not only help you understand the firm's operations better but also allow you to engage in informed discussions during interviews.
✨Tip Number 2
Brush up on your programming skills, especially in Python, C++, or R. Consider working on personal projects or contributing to open-source projects to showcase your coding abilities and problem-solving skills.
✨Tip Number 3
Network with professionals in the quantitative finance field. Attend industry conferences, webinars, or local meetups to connect with others and gain insights into the role and the firm’s culture.
✨Tip Number 4
Prepare for technical interviews by practising quantitative problems and case studies. Focus on statistical analysis and algorithm design, as these are crucial for the role of a Quantitative Researcher.
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative background and relevant skills. Emphasise your education in Mathematics, Statistics, or related fields, and showcase any programming experience you have with languages like Python, C++, or R.
Craft a Strong Cover Letter: In your cover letter, explain why you're interested in the Quantitative Researcher role and how your skills align with the company's needs. Mention specific experiences that demonstrate your ability to analyse data and develop trading strategies.
Showcase Relevant Projects: If you've worked on projects related to quantitative research or trading strategies, include them in your application. Describe your role, the tools you used, and the outcomes of these projects to illustrate your practical experience.
Highlight Communication Skills: Since the role requires strong communication skills, provide examples in your application of how you've successfully collaborated with others. This could be through group projects, presentations, or any cross-functional work you've done.
How to prepare for a job interview at Anson McCade
✨Showcase Your Quantitative Skills
Be prepared to discuss your academic background in Mathematics, Statistics, or related fields. Highlight specific projects or research that demonstrate your quantitative abilities and how they relate to trading strategies.
✨Demonstrate Programming Proficiency
Make sure to mention your experience with programming languages like Python, C++, or R. You might be asked to solve a coding problem during the interview, so brush up on your coding skills and be ready to explain your thought process.
✨Understand Market Structures
Familiarise yourself with different market structures and asset classes. Be ready to discuss how these factors influence trading strategies and how you would approach analysing data in this context.
✨Communicate Effectively
Since strong communication skills are essential, practice explaining complex concepts in simple terms. Be prepared to discuss how you collaborate with colleagues across different regions and how you handle pressure in a fast-paced environment.
