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- Tasks: Conduct cutting-edge research to predict global financial market movements using advanced statistical methods.
- Company: G-Research is a top-tier quantitative research firm based in London and Dallas, fostering talent in a dynamic culture.
- Benefits: Enjoy competitive pay, 35 days off, free lunches, and a relaxed dress code.
- Why this job: Join a stimulating environment where your innovative ideas can thrive and make a real impact.
- Qualifications: A Masters or PhD in a quantitative field; no finance experience needed, just a passion for learning.
- Other info: Work in our new Soho Place office and benefit from our exclusive ML College training programme.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Quantitative Researcher – Postgraduate role at G-Research
Do you want to tackle the biggest questions in finance with near-infinite compute power at your fingertips?
G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible, and highly stimulating culture where world-beating ideas are cultivated and rewarded.
This role is based in our new Soho Place office – opened in 2023 – in the heart of Central London and home to our Research Lab.
The role
Our researchers use the latest scientific techniques and advanced statistical analysis methods to predict movement in global financial markets.
This requires harnessing massive compute power and using state-of-the-art ML techniques to find innovative solutions, as textbook methods won’t beat the competition.
This is a pure research role where you will develop and test your ideas with real-world data in an academic environment.
Machine Learning College
ML College is an established, in-house learning programme at G-Research. It’s designed to develop our researchers into fully-fledged machine learning practitioners through a world-class, custom curriculum.
ML College is exclusive to new and existing Quantitative Researchers at G-Research, so if you join us in this role, you’ll be able to take advantage of a learning experience tailored to accelerate your knowledge and expertise in machine learning quickly and effectively.
Who are we looking for?
The ideal candidate will have:
- An interest in applying mathematical concepts to real-world financial problems
- An interest in implementing theoretical insights as working code
- A Masters or PhD degree (or be working towards one) in a highly quantitative subject, such as mathematics, statistics, computer science, physics, or engineering
- Previous financial experience is not required, although an interest in finance and the motivation to rapidly learn more is a prerequisite for working here
Why should you apply?
- Highly competitive compensation plus annual discretionary bonus
- Lunch provided (via Just Eat for Business) and dedicated barista bar
- 35 days’ annual leave
- 9% company pension contributions
- Informal dress code and excellent work/life balance
- Comprehensive healthcare and life assurance
- Monthly company events
Seniority level
- Entry level
Employment type
- Full-time
Job function
- Finance, Research, and Science
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Quantitative Researcher - Postgraduate employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - Postgraduate
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and machine learning. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your genuine interest in the field.
✨Tip Number 2
Network with current or former employees of G-Research on platforms like LinkedIn. They can provide valuable insights into the company culture and the specific skills that are highly regarded, which can give you an edge in your application process.
✨Tip Number 3
Engage in relevant projects or research that demonstrate your ability to apply mathematical concepts to real-world problems. Having concrete examples to discuss can significantly strengthen your candidacy and show your proactive approach to learning.
✨Tip Number 4
Prepare for technical interviews by brushing up on your coding skills, particularly in languages commonly used in quantitative research, such as Python or R. Practising problem-solving with real-world data sets can also help you feel more confident during the interview process.
We think you need these skills to ace Quantitative Researcher - Postgraduate
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Quantitative Researcher role. Familiarise yourself with the skills needed, such as advanced statistical analysis and machine learning techniques.
Tailor Your CV: Craft your CV to highlight relevant academic achievements, particularly in quantitative subjects like mathematics or statistics. Include any projects or research that demonstrate your ability to apply theoretical concepts to practical problems.
Write a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss your interest in finance and how your background prepares you for this position. Be sure to mention your willingness to learn and adapt in a fast-paced environment.
Showcase Your Skills: If you have experience with programming languages or tools relevant to quantitative research, be sure to include these in your application. Highlight any coding projects or coursework that demonstrate your ability to implement theoretical insights as working code.
How to prepare for a job interview at G-Research
✨Showcase Your Mathematical Skills
As a Quantitative Researcher, you'll need to demonstrate your ability to apply mathematical concepts to real-world problems. Be prepared to discuss specific examples from your studies or projects where you've used advanced statistical methods or mathematical theories.
✨Familiarise Yourself with Machine Learning
Since the role involves using state-of-the-art ML techniques, it's crucial to have a solid understanding of machine learning principles. Brush up on relevant algorithms and be ready to explain how you would implement them in a financial context.
✨Express Your Interest in Finance
Even though previous financial experience isn't required, showing a genuine interest in finance can set you apart. Prepare to discuss why you're drawn to this field and how you plan to expand your knowledge while working at G-Research.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and coding abilities. Practice coding challenges and be ready to explain your thought process clearly, as this will demonstrate your analytical thinking and ability to work under pressure.
