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For Companies At a Glance
- Tasks: Join our High Frequency Trading team to conduct Alpha Research and develop trading strategies.
- Company: We are a leading prop trading firm known for innovation and excellence in the financial markets.
- Benefits: Enjoy competitive pay, flexible working hours, and opportunities for professional growth.
- Why this job: Dive into a dynamic environment where your work directly impacts trading success and market strategies.
- Qualifications: PhD or Master’s in a quantitative field; coding skills in Python, C++, Java, or C# required.
- Other info: Ideal for recent graduates eager to apply their skills in a fast-paced trading environment.
The predicted salary is between 30000 - 42000 £ per year.
Job Description
One of the market leading prop trading firms are looking for a recent graduate to join their High Frequency Trading team as a Quantitative Researcher. The successful candidate will be responsible for Alpha Research, Signal Generation and developing High Frequency Systematic Trading Strategies and will gain exposure to all asset classes but will have a focus on Equities.
Previous experience working with large data sets and the ability to build statistical models is essential, and an interest in using Machine Learning in a trading environment would be desirable.
Essential Skills:
- A PhD or Master’s Degree in a relevant Quantitative Field (Mathematics, Computer Science, Engineering, Physics etc)
- Coding skills in Python, C++, Java or C#
- Strong problem solving ability and knowledge of data structures and algorithms
Contact Detail:
Fourier Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Quant Researcher
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and high-frequency trading. This will not only help you understand the industry better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your coding skills, especially in Python, C++, Java, or C#. Consider working on personal projects or contributing to open-source projects that involve data analysis or algorithm development to showcase your abilities.
✨Tip Number 3
Network with professionals in the quantitative research field. Attend relevant meetups, webinars, or conferences to connect with industry experts and learn about potential job openings or insider tips.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving questions related to data structures and algorithms. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with coding challenges.
We think you need these skills to ace Junior Quant Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your educational background in a relevant quantitative field, such as Mathematics or Computer Science. Emphasise any projects or coursework that involved large data sets, statistical models, or machine learning.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss your coding skills in Python, C++, Java, or C#, and provide examples of how you've applied these skills in previous projects or internships.
Showcase Relevant Experience: If you have experience with high-frequency trading or quantitative research, be sure to include specific examples. Mention any relevant internships, research projects, or competitions that demonstrate your problem-solving abilities and knowledge of data structures and algorithms.
Highlight Your Interest in Machine Learning: Since an interest in using machine learning in a trading environment is desirable, mention any relevant coursework, projects, or self-study you've undertaken in this area. This will show your commitment to staying current in the field.
How to prepare for a job interview at Fourier Ltd
✨Showcase Your Technical Skills
Make sure to highlight your coding skills in Python, C++, Java, or C#. Be prepared to discuss specific projects or experiences where you applied these languages, especially in relation to data analysis or algorithm development.
✨Demonstrate Your Problem-Solving Ability
Prepare to tackle some technical questions or case studies during the interview. Practice explaining your thought process clearly and logically, as this will showcase your strong problem-solving skills.
✨Discuss Your Experience with Data Sets
Be ready to talk about your experience working with large data sets. Share examples of how you've handled data, built statistical models, or used machine learning techniques in your previous work or academic projects.
✨Express Your Interest in Trading Strategies
Show enthusiasm for high-frequency trading and systematic strategies. Research the firm’s approach and be prepared to discuss how your background and interests align with their focus on equities and trading innovations.
