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For Companies At a Glance
- Tasks: Join a dynamic team to create cutting-edge trading strategies and impact profits directly.
- Company: Be part of a prestigious proprietary trading firm known for its success and innovation.
- Benefits: Enjoy competitive pay, potential remote work options, and a collaborative environment.
- Why this job: Work on exciting projects that blend finance and technology while making a real difference.
- Qualifications: Must have 2+ years in finance, a relevant degree, and Python programming skills.
- Other info: Experience in machine learning and global macro markets is a plus.
The predicted salary is between 48000 - 84000 £ per year.
You will join a small, prestigious mid-frequency systematic quant team at a highly successful proprietary trading firm. You will take ownership of the full lifecycle of creating market leading systematic trading strategies. This will consist of researching alpha signals, building state of the art machine learning models and implementation of strategies which will directly impact the desk’s PnL.
You should have at least 2 years of experience working within finance, preferably in a buy side company, working on alpha research and signal generation. Experience in machine learning modelling would be a bonus and knowledge of the global macro market would be desirable.
Key Skills:- Quantitative experience in a Global Macro team
- A PhD or master’s degree in a relevant quantitative field such as maths, physics, computer science or engineering from a Russell group university or equivalent
- Proficiency in Python programming using the machine learning stack; numpy, pandas, scikit-learn etc.
- Solid analytical and problem-solving skills.
Quant Researcher employer: Fourier Ltd
Contact Detail:
Fourier Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Researcher
✨Tip Number 1
Network with professionals in the finance and quant research fields. Attend industry conferences, webinars, or local meetups to connect with people who work at proprietary trading firms. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Showcase your quantitative skills through personal projects or contributions to open-source projects. Having a portfolio that demonstrates your ability to build machine learning models and conduct alpha research can set you apart from other candidates.
✨Tip Number 3
Stay updated on the latest trends in quantitative finance and machine learning. Follow relevant blogs, podcasts, and research papers to discuss these topics during interviews, showing your passion and knowledge in the field.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and quantitative problems. Familiarise yourself with common algorithms and data structures, as well as financial concepts related to global macro markets, to demonstrate your expertise during the interview process.
We think you need these skills to ace Quant Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative experience, particularly in global macro teams. Emphasise any relevant projects or roles that showcase your skills in alpha research and signal generation.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative research and trading. Mention specific experiences that align with the job description, such as your proficiency in Python and machine learning models.
Showcase Relevant Projects: If you have worked on any significant projects related to systematic trading strategies or machine learning, include them in your application. Detail your role and the impact of these projects on previous teams or firms.
Highlight Educational Background: Since a PhD or master's degree from a Russell Group university is preferred, ensure you clearly state your educational qualifications. Include any relevant coursework or research that relates to quantitative finance or machine learning.
How to prepare for a job interview at Fourier Ltd
✨Showcase Your Quantitative Skills
Make sure to highlight your quantitative experience, especially if you've worked in a Global Macro team. Be prepared to discuss specific projects or strategies you've developed and how they contributed to the firm's success.
✨Demonstrate Machine Learning Knowledge
If you have experience with machine learning models, be ready to explain your approach and the tools you used, such as Python libraries like numpy and pandas. Discuss any relevant projects where you implemented these models to generate alpha signals.
✨Understand the Market Landscape
Familiarise yourself with current trends in the global macro market. Being able to discuss recent developments and how they might impact trading strategies will show your depth of knowledge and interest in the field.
✨Prepare for Problem-Solving Questions
Expect to face analytical and problem-solving questions during the interview. Practice explaining your thought process clearly and logically, as this will demonstrate your ability to tackle complex challenges in a systematic way.
