At a Glance
- Tasks: Apply advanced statistical methods and ML techniques to real-world financial data.
- Company: Leading research company in finance with a focus on innovation.
- Benefits: Competitive compensation, generous leave, and excellent work-life balance.
- Why this job: Join a dynamic environment and develop innovative solutions in finance.
- Qualifications: Pursuing a Masters or PhD in a quantitative discipline.
- Other info: Entry-level position perfect for aspiring quantitative researchers.
The predicted salary is between 28800 - 48000 £ per year.
A leading research company in finance is seeking a Quantitative Researcher - Postgraduate to apply advanced statistical methods and ML techniques in a dynamic environment. This entry-level, full-time position is ideal for those pursuing a Masters or PhD in a quantitative discipline.
You will work on real-world financial data, developing innovative solutions while enjoying competitive compensation, generous leave, and an excellent work-life balance.
Quantitative Researcher — ML & Market Insight in London employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher — ML & Market Insight in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and quantitative research fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving statistical methods and ML techniques. This will give potential employers a taste of what you can do with real-world financial data.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common quantitative research questions and be ready to discuss how you've applied your skills in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your enthusiasm for joining our team.
We think you need these skills to ace Quantitative Researcher — ML & Market Insight in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your quantitative skills and any experience with statistical methods or ML techniques. We want to see how you can apply your knowledge to real-world financial data!
Tailor Your Application: Don’t just send a generic CV and cover letter. Take the time to tailor your application to the role of Quantitative Researcher. Mention specific projects or coursework that relate to the job description.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications and enthusiasm for the role.
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!
How to prepare for a job interview at G-Research
✨Know Your Stats
Brush up on your advanced statistical methods and machine learning techniques. Be ready to discuss how you've applied these in your studies or projects, as the interviewers will want to see your practical understanding of these concepts.
✨Real-World Applications
Prepare examples of how you've worked with real-world data, especially in finance if possible. Discuss any innovative solutions you've developed and be ready to explain your thought process behind them.
✨Ask Insightful Questions
Show your interest in the company and the role by preparing thoughtful questions. Inquire about their current projects, the tools they use, or how they approach problem-solving in a dynamic environment.
✨Demonstrate Your Passion
Let your enthusiasm for quantitative research and finance shine through. Share what excites you about the field and how you see yourself contributing to their team, making it clear that you're not just looking for any job, but this specific opportunity.