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- Tasks: Join our High Frequency Trading team to conduct Alpha Research and develop trading strategies.
- Company: We're a leading prop trading firm known for innovation and excellence in the finance sector.
- Benefits: Gain hands-on experience with diverse asset classes and cutting-edge technology in a dynamic environment.
- Why this job: This role offers a chance to work with big data and machine learning in a fast-paced setting.
- Qualifications: Must have a PhD or Master's in a quantitative field and coding skills in Python, C++, Java, or C#.
- Other info: Ideal for recent graduates eager to kickstart their career in quantitative finance.
The predicted salary is between 36000 - 60000 £ 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
Junior Quant Researcher employer: Fourier Ltd
Contact Detail:
Fourier Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Quant Researcher
✨Tip Number 1
Make sure to showcase your experience with large data sets during the interview. Be prepared to discuss specific projects where you applied statistical models and how they contributed to your findings.
✨Tip Number 2
Brush up on your coding skills, especially in Python, C++, Java, or C#. You might be asked to solve coding challenges or demonstrate your coding abilities, so practice common algorithms and data structures.
✨Tip Number 3
Familiarize yourself with high-frequency trading concepts and strategies. Understanding the nuances of this field will help you stand out and show your genuine interest in the role.
✨Tip Number 4
If you have any experience with machine learning, be ready to discuss how you can apply it in a trading environment. Highlight any relevant projects or coursework that demonstrate your knowledge in this area.
We think you need these skills to ace Junior Quant Researcher
Some tips for your application 🫡
Highlight Relevant Education: Make sure to emphasize your PhD or Master’s Degree in a relevant quantitative field. Clearly state your major and any specific coursework that relates to quantitative research, mathematics, or programming.
Showcase Technical Skills: Detail your coding skills in Python, C++, Java, or C#. Provide examples of projects or experiences where you utilized these languages, especially in relation to data analysis or algorithm development.
Demonstrate Problem-Solving Abilities: Include specific instances where you successfully solved complex problems, particularly those involving large data sets or statistical models. This will showcase your analytical thinking and problem-solving skills.
Express Interest in Machine Learning: If you have experience or coursework related to machine learning, be sure to mention it. Discuss any relevant projects or applications where you applied machine learning techniques in a trading or data analysis context.
How to prepare for a job interview at Fourier Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your coding skills in Python, C++, Java, or C#. Bring examples of projects or coursework where you've applied these languages, especially in relation to data analysis or algorithm development.
✨Demonstrate Your Quantitative Knowledge
Since the role requires a strong foundation in quantitative fields, be ready to explain complex concepts from your studies. Discuss any relevant experience with statistical models and how you’ve applied them in practical scenarios.
✨Highlight Your Problem-Solving Abilities
Prepare to tackle some problem-solving questions during the interview. Practice explaining your thought process clearly and logically, as this will showcase your analytical skills and ability to work under pressure.
✨Express Your Interest in Machine Learning
If you have experience or coursework related to machine learning, make sure to mention it. Discuss how you envision using machine learning techniques in trading strategies, as this aligns well with the firm's focus on innovation.
