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 options, and opportunities for professional growth.
- Other info: Exciting career development opportunities in a collaborative environment.
- Why this job: Join a dynamic team and make an impact in the world of quantitative investing.
- Qualifications: Strong statistical background, programming skills in Python, and passion for 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 employer: Fidelity International
Fidelity International is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the 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 drive impactful investment strategies. With a focus on employee well-being and a supportive environment, Fidelity is dedicated to nurturing talent and ensuring meaningful career growth.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Analyst – Systematic Investing & Modelling
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and quantitative analysis space. Use platforms like LinkedIn to connect with people at Fidelity International or similar firms. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and research projects. If you’ve got some cool Python scripts or analyses, share them on GitHub. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical knowledge and programming skills. Be ready to discuss your past projects and how they relate to macro and tactical asset allocation strategies. Practising common interview questions can help you feel more confident when it’s your turn to shine!
✨Tip Number 4
Don’t forget to apply through our website! We often have exclusive job postings that you won’t find elsewhere. Plus, it shows you’re genuinely interested in joining our team. Keep an eye on our careers page for the latest opportunities in systematic investing!
We think you need these skills to ace Quantitative Analyst – Systematic Investing & Modelling
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your statistical background and programming skills, especially in Python. We want to see how your expertise aligns with the role of a Quantitative Analyst.
Tailor Your Application:Don’t just send a generic CV and cover letter. Customise them to reflect your passion for quantitative investing and how you can contribute to our Systematic Investing team at Fidelity International.
Be Clear and Concise:When communicating your experiences and achievements, keep it straightforward. We appreciate clarity, so make sure your model outputs and research contributions are easy to understand.
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 without any hiccups.
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.
