At a Glance
- Tasks: Enhance portfolio performance through innovative research and technique development.
- Company: Leading investment management firm in London with a focus on collaboration.
- Benefits: Comprehensive benefits package and opportunities for professional growth.
- Why this job: Make a real impact in finance using your analytical skills and cutting-edge techniques.
- Qualifications: Strong background in statistics, machine learning, and proficiency in Python.
- Other info: Join a dynamic team and advance your career in a thriving environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading investment management firm in London seeks a Quantitative Researcher to enhance portfolio performance through innovative research and technique development. The ideal candidate will have a strong analytical background in statistics and machine learning, along with proficiency in Python and related data tools. The role provides a collaborative environment with opportunities for professional growth and a comprehensive benefits package.
Quantitative Researcher – Portfolio Monetisation in City of London employer: LGBT Great
Contact Detail:
LGBT Great Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher – Portfolio Monetisation in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the investment management field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in statistics and machine learning. We recommend including any relevant Python work to demonstrate your expertise and make you stand out.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We suggest practising common quantitative research scenarios and being ready to discuss your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Quantitative Researcher – Portfolio Monetisation in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your analytical background in statistics and machine learning. We want to see how your skills in Python and data tools can enhance portfolio performance, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the Quantitative Researcher role. We love seeing candidates who understand our needs and can demonstrate how their experience aligns with the job description.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured responses that get straight to the heart of your qualifications and experiences.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in a collaborative environment.
How to prepare for a job interview at LGBT Great
✨Know Your Numbers
Brush up on your statistics and machine learning concepts. Be ready to discuss how you've applied these in past projects. Having specific examples will show your analytical prowess and help you stand out.
✨Python Proficiency is Key
Make sure you're comfortable with Python and any related data tools. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to boost your confidence.
✨Research the Firm
Familiarise yourself with the firm's portfolio and recent performance. Understanding their investment strategies will allow you to ask insightful questions and demonstrate your genuine interest in the role.
✨Collaborative Mindset
Since the role emphasises collaboration, be prepared to discuss how you've worked effectively in teams. Share examples that highlight your communication skills and ability to contribute to group success.