At a Glance
- Tasks: Support the investment team by developing tools and providing portfolio analytics.
- Company: Franklin Templeton, a leader in data-driven stock analytics.
- Benefits: Entry-level role with opportunities for growth and skill development.
- Other info: Collaborative environment with strong emphasis on communication and teamwork.
- Why this job: Join a dynamic team and apply your analytical skills to real-world investment challenges.
- Qualifications: Degree in finance or quantitative fields; SQL, R, and Python skills preferred.
The predicted salary is between 30000 - 40000 € per year.
Franklin Templeton is seeking a Quantitative Research Associate in Westminster, UK, to support the investment team. This entry-level role is ideal for candidates with strong analytical, programming, and database skills, applying quantitative methods in investment.
Responsibilities include:
- Developing tools
- Database management
- Providing portfolio analytics
Candidates should possess a degree in finance or quantitative fields, and proficiency in SQL, R, and Python is preferred. Strong communication skills and a collaborative spirit are essential for success in this role.
Quantitative Research Associate — Data-Driven Stock Analytics in London employer: Franklin Templeton
Franklin Templeton is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Westminster. Employees benefit from comprehensive training and development opportunities, enabling them to grow their skills in quantitative research and investment analytics. With a commitment to diversity and inclusion, Franklin Templeton provides a supportive environment where every team member can thrive and contribute meaningfully to the company's success.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Research Associate — Data-Driven Stock Analytics in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and analytics space on LinkedIn. A friendly message can go a long way, and you never know who might have a lead on that perfect job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in SQL, R, and Python. This is your chance to demonstrate your analytical prowess and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by practising common quantitative research questions. We recommend doing mock interviews with friends or using online resources to boost your confidence and refine your answers.
✨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 are proactive about their job search!
We think you need these skills to ace Quantitative Research Associate — Data-Driven Stock Analytics in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your analytical, programming, and database skills. We want to see how your experience 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 quantitative research and how your skills can contribute to our investment team. Keep it concise but impactful!
Show Off Your Technical Skills:Since we’re looking for proficiency in SQL, R, and Python, make sure to mention any relevant experience you have with these tools. If you've worked on specific projects, give us the details to demonstrate your expertise!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Franklin Templeton
✨Know Your Numbers
Brush up on your analytical skills and be ready to discuss quantitative methods you've used in the past. Be prepared to explain how you would apply these methods to investment scenarios, as this will show your understanding of the role.
✨Show Off Your Coding Skills
Since proficiency in SQL, R, and Python is preferred, make sure you can talk about your experience with these languages. Consider preparing a small project or example that demonstrates your coding abilities and how they relate to data-driven stock analytics.
✨Communicate Clearly
Strong communication skills are essential, so practice explaining complex concepts in simple terms. You might be asked to present your findings or tools, so being able to articulate your thoughts clearly will set you apart from other candidates.
✨Collaborate and Connect
This role requires a collaborative spirit, so think of examples where you've worked well in a team. Be ready to discuss how you handle feedback and contribute to group projects, as this will highlight your ability to fit into their investment team.
