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- Tasks: Investigate market insights and develop mathematical models using advanced statistical analysis.
- Company: Leading quantitative finance firm based in London with a focus on innovation.
- Benefits: Competitive salary, annual bonus, 35 days leave, and comprehensive healthcare.
- Why this job: Join a dynamic research team and push the boundaries of financial analysis.
- Qualifications: Strong background in fundamental equity research and solid quantitative skills.
- Other info: Enjoy a flexible work environment with monthly company events and a barista bar.
The predicted salary is between 36000 - 60000 £ per year.
We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world‑class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world‑class platform to amplify our teams’ most powerful ideas. Join a research team where curiosity meets scale. You’ll investigate foundational questions, uncover market insights and push the boundaries of what’s possible - all with the support of near‑limitless compute and world‑class peers.
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. We are looking to hire an experienced fundamental analyst, with a strong quantitative background, who is interested in transitioning to a more quantitative role, while still leveraging your industry experience. 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. Using your financial knowledge and analytical skills, you will help to build mathematical models of price movements based on a broad array of data inputs.
Who are we looking for?
We are seeking individuals with a passion for, and keen interest in, financial markets. The ideal candidate will have solid quantitative and computing skills, backed up by a strong background in fundamental equity research. For example, this might be someone already working in the discretionary space, who enjoys the mathematical and data side of things, and is interested in making the step across into the quantitative world. In particular, we want to hear from highly motivated candidates with the following skills and experience:
- Knowledge of financial markets from a strong career background in fundamental equity research
- Some coding ability or the motivation to rapidly learn
- Solid maths background gained from experience in studying maths, physics or a related STEM subject
- Enthusiastic about making the change to a quantitative role
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
- Cycle‑to‑work scheme
- Monthly company events
Quantitative Researcher – Fundamental Equity Research in City of London employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher – Fundamental Equity Research in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees in similar roles or departments. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus.
✨Tip Number 2
Prepare for the interview by brushing up on your quantitative skills. Be ready to discuss how your background in fundamental equity research can translate into this new role. Show us your passion for financial markets!
✨Tip Number 3
Don’t underestimate the power of a good follow-up. After your interview, drop a quick thank-you email to express your appreciation and reiterate your enthusiasm for the role. It keeps you fresh in their minds!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Quantitative Researcher – Fundamental Equity Research in City of London
Some tips for your application 🫡
Show Your Passion: Let us see your enthusiasm for financial markets right from the start. In your application, share what excites you about quantitative research and how your background in fundamental equity research fuels that passion.
Highlight Your Skills: Make sure to showcase your solid quantitative and computing skills. Whether it's coding or maths, we want to know how your experience aligns with the role. Don't be shy—this is your chance to shine!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your unique experiences and insights can contribute to our team’s mission of tackling complex problems in quantitative finance.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at G-Research
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific statistical methods you've used in your previous roles. This is crucial for a Quantitative Researcher position, so make sure you can explain how these techniques apply to financial markets.
✨Show Your Curiosity
Demonstrate your passion for financial markets by discussing recent trends or insights you've uncovered. Prepare a few examples of how you've approached complex problems in the past, as this will show your analytical mindset and eagerness to explore.
✨Get Technical
If you have coding experience, be prepared to talk about it! Even if you're still learning, express your motivation to improve. Familiarise yourself with common programming languages used in quantitative finance, like Python or R, and be ready to discuss how you've applied them.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's research environment and methodologies. This not only shows your interest but also helps you gauge if the company culture aligns with your values, especially regarding deep exploration and methodical execution.
