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- 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 make an impact in the world of finance.
- 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 36000 - 60000 £ 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 in London 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 in London
✨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 interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and any projects you've worked on in Python. This not only demonstrates your expertise but also gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of financial markets and risk analysis. Practising common interview questions can help you articulate your thoughts clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining our team. It shows initiative and enthusiasm, which we really value.
We think you need these skills to ace Systematic Investing Quant - Build Data-Driven Portfolios in London
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 your skills in Python and financial markets can contribute to our data-driven investment strategies.
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when candidates tailor their applications to the role. Mention specific experiences that relate to designing systematic strategies or developing quantitative models.
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 fit for the role.
Apply Through Our Website: We encourage you 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 our growing team!
How to prepare for a job interview at Flisher + Partners
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative analysis skills. Be ready to discuss your experience with data-driven investment strategies and how you've used Python in your previous roles. Prepare to explain complex concepts in a simple way, as this shows your depth of understanding.
✨Showcase Your Financial Market Knowledge
Familiarise yourself with current trends in financial markets. Be prepared to discuss how these trends could impact systematic investing. This will demonstrate your passion for the field and your ability to think critically about market dynamics.
✨Prepare for Technical Questions
Expect technical questions related to quantitative models and risk analysis. Practice explaining your thought process when developing these models. Use examples from your past work to illustrate your problem-solving skills and analytical thinking.
✨Emphasise Team Collaboration
Since this role involves working within a growing team, highlight your experience in collaborative projects. Share examples of how you've successfully worked with others to achieve common goals, and express your enthusiasm for contributing to a diverse team environment.
