Quantitative Research Associate in London

Quantitative Research Associate in London

London Entry level 30000 - 40000 € / year (est.) Home office (partial)
Franklin Templeton

At a Glance

  • Tasks: Support portfolio managers with data analysis and develop quantitative tools for investment strategies.
  • Company: Join Franklin Templeton, a leader in asset management and fintech innovation.
  • Benefits: Enjoy a supportive culture, competitive pay, and resources for personal and professional growth.
  • Other info: Embrace a diverse and inclusive workplace that values your unique talents.
  • Why this job: Kickstart your career in finance while making a real impact on investment outcomes.
  • Qualifications: Strong analytical skills, programming knowledge, and interest in financial markets required.

The predicted salary is between 30000 - 40000 € per year.

At Franklin Templeton, we’re advancing our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic and diversified firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals.

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.

How You Will Add Value
  • 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.
What Will Help You Be Successful In This Role
  • BA, BS, or MS in finance, mathematics, statistics, computing science or 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 achievement of team goals.

Building teams with diverse skills, backgrounds, and experiences has always been important to us. Cultivating an inclusive culture where employees feel safe to share their voices is not only beneficial for our people, but also drives innovation and enables us to deliver better client outcomes.

Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.

Quantitative Research Associate in London employer: Franklin Templeton

At Franklin Templeton, we pride ourselves on fostering a welcoming and inclusive culture that prioritises employee well-being and professional growth. As a Quantitative Research Associate, you will benefit from a dynamic work environment that encourages collaboration and innovation, while also providing access to extensive resources and learning opportunities to help you excel in your career. With a commitment to diversity and flexible working arrangements, Franklin Templeton is an excellent employer for those seeking meaningful and rewarding employment in the asset management industry.

Franklin Templeton

Contact Detail:

Franklin Templeton Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Research Associate in London

Tip Number 1

Network like a pro! Reach out to professionals in the asset management field, especially those at Franklin Templeton. Use LinkedIn to connect and engage with them; you never know who might help you land that interview!

Tip Number 2

Prepare for your interviews by brushing up on your quantitative skills. Be ready to discuss your experience with SQL, R, and Python, and how you've applied these in real-world scenarios. Practice explaining complex concepts in simple terms – it’ll impress the interviewers!

Tip Number 3

Show your passion for financial markets! Stay updated on current trends and be prepared to discuss how they impact investment strategies. This will demonstrate your genuine interest in the role and the industry.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining our team at Franklin Templeton. Good luck!

We think you need these skills to ace Quantitative Research Associate in London

Analytical Skills
Programming Skills
Database Management
Data Analysis
Statistical Knowledge
Machine Learning Techniques
SQL Proficiency

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Quantitative Research Associate role. Highlight your analytical skills, programming experience, and any relevant projects that showcase your ability to work with data and quantitative methods.

Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about asset management and how your background fits with our team. Use specific examples to demonstrate your understanding of financial markets and your technical skills.

Showcase Your Technical Skills:Don’t forget to mention your proficiency in SQL, R, and Python! We want to see how you’ve used these tools in past experiences, so include any relevant projects or coursework that highlight your technical abilities.

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. Plus, it shows you’re keen on joining our team!

How to prepare for a job interview at Franklin Templeton

Know Your Numbers

As a Quantitative Research Associate, you'll be dealing with a lot of data. Brush up on your statistics and data analysis techniques before the interview. Be ready to discuss how you've applied these skills in past experiences or projects.

Showcase Your Technical Skills

Make sure you highlight your proficiency in SQL, R, and Python. Prepare to discuss specific examples where you've used these programming languages to solve problems or improve processes. This will demonstrate your technical capability and readiness for the role.

Understand the Investment Landscape

Familiarise yourself with current trends in financial markets and investment strategies. Being able to discuss recent developments or how certain factors affect stock performance can set you apart from other candidates.

Communicate Clearly

You’ll need to translate complex quantitative insights into understandable narratives. Practice explaining your past projects or analyses in simple terms. This will show that you can communicate effectively with both technical and non-technical team members.