At a Glance
- Tasks: Support investment teams by analysing data and developing quantitative tools.
- Company: Franklin Templeton Investments, a leader in asset management.
- Benefits: Gain valuable experience in finance with competitive salary and growth opportunities.
- Other info: Entry-level role perfect for recent graduates passionate about finance and technology.
- Why this job: Kickstart your career in finance with hands-on experience in data-driven investing.
- Qualifications: Strong analytical skills and proficiency in SQL, R, and Python required.
The predicted salary is between 30000 - 40000 € per year.
Franklin Templeton Investments seeks a Quantitative Research Associate in London to support investment teams. This entry-level role is designed for individuals with strong analytical and programming skills, focusing on data analysis and developing quantitative tools.
The ideal candidate will possess a BA, BS, or MS in a quantitative field and have proficiency in SQL, R, and Python. This position provides a strong foundation in asset management and insight into investment-making processes.
Quantitative Research Associate - Data-Driven Investing in London employer: Franklin Templeton Investments
Franklin Templeton Investments is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong commitment to employee development, we offer extensive training and growth opportunities for our Quantitative Research Associates, ensuring they gain valuable insights into the investment-making process while working alongside industry experts. Our focus on data-driven investing not only empowers our employees to make meaningful contributions but also positions them at the forefront of the evolving financial landscape.
Contact Detail:
Franklin Templeton Investments Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Research Associate - Data-Driven Investing in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the investment field on LinkedIn or at industry events. A friendly chat can open doors and give you insights that might just land you that Quantitative Research Associate role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects, especially those using SQL, R, and Python. This will not only demonstrate your capabilities but also set you apart from other candidates.
✨Tip Number 3
Prepare for interviews by brushing up on common quantitative finance concepts and tools. Practice explaining your thought process clearly, as communication is key in this field. We want to see how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Quantitative Research Associate - Data-Driven Investing in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your analytical and programming skills, especially in SQL, R, and Python. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data-driven investing and how your skills can contribute to our investment teams. Keep it concise but impactful!
Showcase Your Analytical Mindset:In your application, give examples of how you've used data analysis in past experiences. Whether it's a project from university or a personal endeavour, we love to see how you think critically and solve problems.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at Franklin Templeton Investments
✨Know Your Numbers
Brush up on your analytical skills and be ready to discuss specific data analysis projects you've worked on. Be prepared to explain how you used SQL, R, or Python to solve problems or derive insights.
✨Showcase Your Programming Prowess
Since this role requires strong programming skills, consider preparing a small coding challenge or example project to demonstrate your abilities. This could be a simple data analysis script or a visualisation that highlights your understanding of quantitative tools.
✨Understand the Investment Landscape
Familiarise yourself with current trends in data-driven investing and asset management. Being able to discuss recent developments or case studies will show your genuine interest in the field and help you stand out.
✨Ask Insightful Questions
Prepare thoughtful questions about the investment teams and their methodologies. This not only shows your enthusiasm for the role but also helps you gauge if the company culture aligns with your career goals.
