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- Tasks: Analyse financial data and collaborate with teams to enhance portfolio performance.
- Company: G-Research is a top-tier quantitative research firm in finance, based in London and Dallas.
- Benefits: Enjoy a competitive salary, 35 days off, free lunch, and a barista bar!
- Why this job: Join a dynamic team that values innovation and offers a great work/life balance.
- Qualifications: Experience in data analysis, strong Python skills, and a passion for finance are essential.
- Other info: Work in a brand-new office in Soho, London, with a focus on continuous learning.
The predicted salary is between 43200 - 72000 £ per year.
Join to apply for the Quantitative Analyst 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 employ some of the best talents in the field and foster a dynamic, flexible, and highly stimulating culture where innovative ideas are cultivated and rewarded.
This role is based in our new Soho Place office – opened in 2023 – in the heart of Central London, home to our Research Lab.
The role
The Post-Trade Analysis group collaborates with senior stakeholders across the firm—from Research to Portfolio Management—to analyze performance and identify inefficiencies in portfolio behaviors and trading patterns.
As a Quantitative Analyst, you will partner with our engineering team to develop advanced analytical tools and help productionize research findings into reports for ongoing monitoring and dissemination.
Key responsibilities include:
- Collaborating with stakeholders to deliver accurate research across various assets.
- Leading rigorous analysis of portfolio behaviors to draw statistically significant conclusions.
- Performing rapid analysis during crises to support decision-making.
- Researching and applying new methodologies to enhance group capabilities.
- Engaging in open debates to critically assess research outcomes.
- Thinking commercially to maximize value.
Who are we looking for?
The ideal candidate will have:
- Proven experience in a quantitative or data analysis role with a strong track record.
- Experience handling large datasets with a focus on aggregation.
- Good programming skills, preferably in Python.
- A passion for continuous learning and impactful work.
- Ability to challenge the status quo and drive improvements.
- Precision, rigor, and attention to detail.
- Strong prioritization skills with a commercial mindset.
- Excellent communication skills to convey complex ideas to diverse stakeholders.
- Ability to create effective visualizations of complex problems.
- A demonstrated interest in financial markets.
Why should you apply?
- Highly competitive salary plus annual discretionary bonus.
- Lunch provided and a dedicated barista bar.
- 35 days’ annual leave.
- 9% company pension contributions.
- Informal dress code and good work/life balance.
- Comprehensive healthcare and life insurance.
- Monthly company events.
Location
London, UK
Seniority level
- Associate
Employment type
- Full-time
Job function
- Analysis and Research
Industries
- Financial Services and Capital Markets
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Quantitative Analyst employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative analysis and financial markets. This will not only help you understand the role better but also allow you to engage in informed discussions during interviews.
✨Tip Number 2
Network with professionals in the finance and quantitative analysis sectors. Attend industry events or webinars to connect with potential colleagues and learn more about G-Research's culture and expectations.
✨Tip Number 3
Brush up on your programming skills, especially in Python. Consider working on personal projects or contributing to open-source initiatives that showcase your ability to handle large datasets and develop analytical tools.
✨Tip Number 4
Prepare to discuss your previous experiences with data analysis and how you've applied statistical methods to solve real-world problems. Be ready to share specific examples that demonstrate your analytical thinking and commercial mindset.
We think you need these skills to ace Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative analysis and data handling. Emphasise your programming skills, particularly in Python, and any previous work with large datasets.
Craft a Compelling Cover Letter: In your cover letter, express your passion for finance and continuous learning. Mention specific methodologies or analytical tools you have used in the past and how they relate to the role at G-Research.
Showcase Communication Skills: Since the role requires conveying complex ideas to diverse stakeholders, include examples in your application that demonstrate your ability to communicate effectively, both in writing and verbally.
Highlight Problem-Solving Abilities: Discuss instances where you have successfully tackled challenges or inefficiencies in previous roles. This will show your capability to think critically and drive improvements, which is essential for the Quantitative Analyst position.
How to prepare for a job interview at G-Research
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of your previous work in quantitative analysis. Be ready to explain how you approached complex problems, the methodologies you used, and the outcomes of your analyses.
✨Demonstrate Programming Proficiency
Since programming skills, particularly in Python, are crucial for this role, be prepared to discuss your coding experience. You might even be asked to solve a coding problem during the interview, so brush up on your Python skills beforehand.
✨Understand Financial Markets
Familiarise yourself with current trends and issues in financial markets. Being able to discuss these topics will show your genuine interest and help you connect with the interviewers, who are likely to be experts in the field.
✨Communicate Clearly and Effectively
Practice explaining complex ideas in simple terms. Since you'll need to convey your findings to diverse stakeholders, demonstrating your ability to communicate clearly will be key to impressing the interviewers.
