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- Tasks: Support research desk and develop innovative quantitative tools for investment strategies.
- Company: Leading European ETF company based in London with a focus on innovation.
- Benefits: Competitive salary, professional development, and a dynamic work environment.
- Why this job: Join a forward-thinking team and make an impact in the financial services industry.
- Qualifications: Master's degree, strong quantitative skills, and experience in financial services required.
- Other info: Proficiency in Python and SQL preferred; additional language skills are a plus.
The predicted salary is between 36000 - 60000 £ per year.
A leading European ETF company is seeking a full-time associate for its European Research Team in London. This position involves supporting the research desk, developing quantitative tools, and conducting rigorous research to innovate investment strategies.
Candidates should hold a relevant Master's degree and possess strong quantitative skills, along with experience in financial services. Proficiency in Python and SQL, along with additional language skills, are preferred for this role.
Quantitative Researcher - Europe ETFs & Data Tools in London employer: WisdomTree
Contact Detail:
WisdomTree Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - Europe ETFs & Data Tools in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the ETF and financial services space on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative tools and research projects. This is your chance to demonstrate your Python and SQL prowess, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of investment strategies and market trends. We want you to be ready to discuss how your skills can innovate their research desk.
✨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 take that extra step.
We think you need these skills to ace Quantitative Researcher - Europe ETFs & Data Tools in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your quantitative skills and any relevant experience in financial services. We want to see how you can bring your expertise to our European Research Team!
Tailor Your Application: Don’t just send a generic CV and cover letter. Take the time to tailor your application to the role of Quantitative Researcher. We love seeing candidates who understand what we do and how they fit into our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at WisdomTree
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific examples of how you've applied them in previous roles. This could include any projects where you developed tools or conducted research that led to innovative investment strategies.
✨Showcase Your Technical Skills
Make sure you're comfortable discussing your proficiency in Python and SQL. Prepare to explain how you've used these languages in your work, perhaps by sharing a project where you built a data tool or analysed financial data.
✨Research the Company
Familiarise yourself with the company’s position in the ETF market and their recent innovations. Being able to reference their work during the interview shows genuine interest and can help you stand out as a candidate.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical thinking and problem-solving abilities. Practice articulating your thought process clearly, as this will demonstrate your approach to tackling complex research challenges.
