At a Glance
- Tasks: Support investment teams with data analysis and develop quantitative tools for stock selection.
- Company: Join a leading asset management firm committed to diversity and inclusion.
- Benefits: Gain valuable experience, flexible working options, and opportunities for career growth.
- Other info: Dynamic team environment with a focus on learning and collaboration.
- Why this job: Kickstart your career in finance while applying your analytical skills to real-world challenges.
- Qualifications: Degree in finance, mathematics, or related field; programming skills in SQL, R, and Python preferred.
The predicted salary is between 30000 - 40000 € per year.
We are seeking a Quantitative Research Associate to join our investment team. This is an entry‑level role designed for individuals with strong analytical, programming and database management skills who are interested in applying quantitative methods within a fundamentally driven investment process. You will support portfolio managers and research analysts by providing data analysis, developing tools, and assisting with portfolio analytics and quantitative research. This position provides a strong foundation for a career in asset management, combining technical skill development with direct insight into the investment‑making process.
Responsibilities
- Assist in developing and maintaining quantitative tools to support fundamental stock selection and portfolio construction.
- Help build and maintain databases, screening tools, and factor models to complement fundamental research.
- Contribute to quantitative analysis and provision of portfolio analytics, including performance attribution, factor exposures and risk metrics.
- Ensure data quality and assist with data cleaning and organization.
- Perform back testing and validation of portfolio strategies and alpha signals.
- Collaborate with technology teams to productionize tools and improve data infrastructure.
Requirements
- BA, BS, or MS in finance, mathematics, statistics, computing science or a similar quantitative field.
- Previous experience in a quantitative role within asset management.
- Strong understanding of statistics and data analysis techniques.
- Familiarity with machine learning techniques and their application to financial data.
- Ability to analyze large structured and unstructured datasets.
- Proficiency in SQL, R and Python strongly preferred.
- Interest in financial markets, accounting fundamentals, and valuation concepts.
- Strong written and verbal communication skills, with the ability to translate quantitative insights into compelling narratives.
- Self‑starter, strong attention to detail and willingness to learn.
- Team player; willingness to work hard and contribute to the achievement of team goals.
Quantitative Research Associate employer: Franklin Templeton
Franklin Templeton is an exceptional employer for aspiring Quantitative Research Associates, offering a dynamic work culture that prioritises collaboration and innovation. With a strong commitment to employee growth, you will have access to comprehensive training and mentorship opportunities, allowing you to develop your technical skills while gaining invaluable insights into the investment-making process. Located in a vibrant financial hub, our inclusive environment fosters diversity and encourages flexible working arrangements, making it an ideal place for those seeking meaningful and rewarding careers in asset management.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Research Associate
✨Tip Number 1
Network like a pro! Reach out to professionals in the asset management field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative analysis projects, especially those using SQL, R, or Python. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding of financial markets. Be ready to discuss how you've applied your analytical skills in real-world scenarios.
✨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
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your analytical, programming, and database management skills in your application. We want to see how you can apply quantitative methods, so don’t hold back on showcasing your experience with SQL, R, and Python!
Tailor Your Narrative:When writing your application, connect your experiences to the role. We love seeing how your background in finance, mathematics, or statistics aligns with our investment process. Make it personal and relevant!
Keep It Clear and Concise:We appreciate strong written communication skills, so keep your application clear and to the point. Avoid jargon unless it’s necessary, and make sure your insights are easy to understand. Remember, we’re looking for compelling narratives!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Franklin Templeton
✨Know Your Numbers
Brush up on your statistics and data analysis techniques. Be ready to discuss how you've applied these skills in previous roles or projects, especially in relation to financial data. This will show your analytical prowess and understanding of the quantitative methods relevant to the position.
✨Showcase Your Programming Skills
Make sure you’re comfortable discussing SQL, R, and Python. Prepare examples of how you've used these languages to solve problems or develop tools. If you can, bring along a portfolio of your work or any relevant projects that demonstrate your programming capabilities.
✨Understand the Investment Process
Familiarise yourself with fundamental stock selection and portfolio construction. Be prepared to explain how quantitative analysis fits into this process. Showing that you understand the bigger picture will impress the interviewers and demonstrate your genuine interest in asset management.
✨Communicate Clearly
Practice translating complex quantitative insights into simple narratives. During the interview, focus on how you can convey your findings effectively to non-technical stakeholders. Strong communication skills are key in this role, so be ready to showcase your ability to make data relatable.
