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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, known for innovation.
- Benefits: Enjoy competitive pay, 35 days off, free lunches, and a relaxed dress code.
- Why this job: Work in a dynamic environment with access to massive compute power and real-world data.
- Qualifications: Masters or PhD in a quantitative field and strong programming skills required.
- Other info: Join us at our new Soho Place office, opened in 2023, fostering creativity and collaboration.
The predicted salary is between 28800 - 42000 £ per year.
Join to apply for the Quantitative Researcher – Experienced role at G-Research
Join to apply for the Quantitative Researcher – Experienced 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 them to harness massive compute power and use 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 be able to develop and test your ideas with real-world data in an academic environment.
Who are we looking for?
The ideal candidate will have:
- Experience working in a sophisticated research environment, undertaking self-directed research in finance, technology or in a tenured academic position
- A Masters or PhD degree in a highly quantitative subject, such as mathematics, statistics, computer science, physics or engineering
- Strong programming skills in a least one programming language
- A demonstrable track record of impactful research, within one or both of academia and industry
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
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Research and Science
-
Industries
Capital Markets
Referrals increase your chances of interviewing at G-Research by 2x
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Quantitative Researcher – Experienced employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher – Experienced
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative research and financial markets. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field by attending relevant conferences or meetups. Building connections can provide insights into the company culture at G-Research and may even lead to referrals.
✨Tip Number 3
Brush up on your programming skills, especially in languages commonly used in quantitative research like Python or R. Being able to demonstrate your coding proficiency can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your past research projects in detail. Be ready to explain your methodologies, findings, and how they could apply to the work at G-Research, showcasing your ability to think critically and innovatively.
We think you need these skills to ace Quantitative Researcher – Experienced
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative research and any relevant programming skills. Emphasise your academic qualifications, particularly if you hold a Masters or PhD in a quantitative subject.
Craft a Strong Cover Letter: In your cover letter, express your passion for tackling complex financial questions and how your background aligns with the role. Mention specific projects or research that demonstrate your ability to innovate and solve problems using advanced statistical methods.
Showcase Your Research Impact: Include details of your previous research work, especially any impactful findings or publications. This will help illustrate your capability to contribute to G-Research's mission of using state-of-the-art techniques to predict market movements.
Prepare for Technical Questions: Be ready to discuss your programming skills and any quantitative methods you have used in past research. Familiarise yourself with common technical questions related to finance and machine learning, as these may come up during the interview process.
How to prepare for a job interview at G-Research
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail. Highlight the methodologies you used, the challenges you faced, and the impact of your findings. This will demonstrate your ability to conduct self-directed research in a sophisticated environment.
✨Demonstrate Programming Proficiency
Since strong programming skills are essential for this role, be ready to discuss your experience with programming languages. You might even be asked to solve a coding problem during the interview, so brush up on your coding skills and be familiar with common algorithms and data structures.
✨Understand Financial Markets
Familiarise yourself with current trends and challenges in global financial markets. Being able to discuss how your research can apply to real-world financial scenarios will show that you understand the industry and can contribute effectively.
✨Prepare Thought-Provoking Questions
Interviews are a two-way street. Prepare insightful questions about G-Research's approach to quantitative research, their use of machine learning techniques, and the culture within the team. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
