At a Glance
- Tasks: Develop quantitative models and conduct research on asset allocation strategies.
- Company: Fidelity International, a leader in systematic investing.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement potential.
- Why this job: Join a dynamic team and make an impact in the world of investing.
- Qualifications: Strong statistical background, programming skills in Python, and passion for quantitative investing.
The predicted salary is between 60000 - 80000 £ per year.
Fidelity International is seeking a Quantitative Analyst to join its Systematic Investing team, based in London. This role requires development of quantitative models and conducting research focused on macro and tactical asset allocation strategies.
The ideal candidate will possess a strong statistical background, a passion for quantitative investing, and programming skills, particularly in Python. They will communicate model outputs effectively with various stakeholders and contribute to enhancing the firm's systematic investment capabilities.
Quantitative Analyst – Systematic Investing & Modelling in London employer: Fidelity International
Fidelity International is an exceptional employer that fosters a collaborative and innovative work culture, particularly within its Systematic Investing team in London. Employees benefit from comprehensive professional development opportunities, a commitment to diversity, and the chance to work on cutting-edge quantitative models that shape investment strategies. With a focus on employee well-being and a dynamic environment, Fidelity offers a rewarding career path for those passionate about quantitative investing.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Analyst – Systematic Investing & Modelling in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and quantitative analysis space on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your passion for quantitative investing.
✨Tip Number 2
Showcase your skills! Create a portfolio of your quantitative models and research projects. This will not only demonstrate your programming skills, especially in Python, but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Brush up on your statistical knowledge and be ready to explain your thought process behind model development. Practise communicating complex ideas simply, as you'll need to engage with various stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive roles listed there, and it’s a great way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Quantitative Analyst – Systematic Investing & Modelling in London
Some tips for your application 🫡
Show Off Your Stats Skills:Make sure to highlight your strong statistical background in your application. We want to see how your skills can contribute to our quantitative models and research efforts.
Python is Key:Since programming skills, especially in Python, are crucial for this role, don’t forget to mention any relevant projects or experiences. We love seeing how you’ve used Python in real-world scenarios!
Communicate Clearly:As you'll be sharing model outputs with various stakeholders, it’s important to demonstrate your ability to communicate complex ideas simply. Use clear language in your application to show us you can do this.
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 the role. Don’t miss out!
How to prepare for a job interview at Fidelity International
✨Brush Up on Your Statistics
Make sure you have a solid grasp of statistical concepts and methods. Be prepared to discuss how you've applied these in past projects or roles, especially in relation to macro and tactical asset allocation strategies.
✨Show Off Your Python Skills
Since programming in Python is key for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that showcases your quantitative analysis skills.
✨Communicate Clearly
You’ll need to explain complex model outputs to various stakeholders. Practice summarising your findings in simple terms and think about how you can tailor your communication style to different audiences.
✨Research Fidelity International
Familiarise yourself with Fidelity's investment philosophy and recent developments in systematic investing. This will not only help you answer questions but also show your genuine interest in the company and its goals.
