At a Glance
- Tasks: Design and enhance data-driven investment strategies using quantitative models.
- Company: Specialist investment research organisation with a focus on innovation.
- Benefits: Hybrid work model, collaborative team environment, and opportunities for growth.
- Why this job: Join a dynamic team and shape the future of investment strategies.
- Qualifications: Strong quantitative skills, Python proficiency, and understanding of financial markets.
- Other info: Diverse perspectives are valued in this growing team.
The predicted salary is between 43200 - 72000 £ per year.
A specialist investment research organization is seeking a Quantitative Analyst to support the development of data-driven investment strategies. The role involves designing and enhancing systematic strategies, developing quantitative models, and conducting risk analysis.
Ideal candidates will have:
- a strong quantitative background,
- proficiency in Python,
- a solid understanding of financial markets.
This hybrid position in London offers opportunities for collaboration within a growing team and values diverse perspectives.
Systematic Investing Quant - Build Data-Driven Portfolios employer: Flisher + Partners
Contact Detail:
Flisher + Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Systematic Investing Quant - Build Data-Driven Portfolios
✨Tip Number 1
Network like a pro! Reach out to professionals in the investment research field on LinkedIn or at industry events. A friendly chat can open doors and give you insights that might just land you that Quant role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and any projects you've worked on in Python. This is your chance to demonstrate your expertise and passion for systematic investing.
✨Tip Number 3
Prepare for interviews by brushing up on your financial market knowledge and risk analysis techniques. We recommend practising common quant interview questions and even doing mock interviews with friends to build confidence.
✨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 Systematic Investing Quant - Build Data-Driven Portfolios
Some tips for your application 🫡
Show Off Your Quant Skills: Make sure to highlight your quantitative background in your application. We want to see how you've used data and models in previous roles, so don’t hold back on those details!
Python Proficiency is Key: Since proficiency in Python is a must-have for this role, include specific examples of projects or tasks where you've used Python to develop models or strategies. This will help us see your technical chops!
Understand Financial Markets: Demonstrate your understanding of financial markets in your application. Share any relevant experiences or insights that show you know how to navigate the complexities of investing and risk analysis.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you into our system quickly!
How to prepare for a job interview at Flisher + Partners
✨Know Your Quantitative Stuff
Brush up on your quantitative analysis skills and be ready to discuss specific models you've worked on. Make sure you can explain complex concepts in a simple way, as this shows your depth of understanding and ability to communicate effectively.
✨Show Off Your Python Skills
Since proficiency in Python is key for this role, prepare to talk about your experience with it. Bring examples of projects where you've used Python for data analysis or model development, and be ready to tackle any coding challenges they might throw your way.
✨Understand the Financial Markets
Familiarise yourself with current trends and events in the financial markets. Be prepared to discuss how these factors could influence systematic investing strategies, showing that you not only have the technical skills but also a solid grasp of the market landscape.
✨Emphasise Collaboration and Diversity
This role values diverse perspectives, so highlight any experiences where you've successfully collaborated with others. Share examples of how different viewpoints have enhanced your work, demonstrating that you're a team player who appreciates varied insights.