Junior Quantitative Researcher – Applied Scientist (London)

Junior Quantitative Researcher – Applied Scientist (London)

London Full-Time 40000 - 50000 € / year (est.) No home office possible
Quant Capital

At a Glance

  • Tasks: Analyse large-scale data sets and develop innovative quantitative models.
  • Company: Quant Capital, a leading firm in quantitative research.
  • Benefits: Competitive compensation and opportunities for professional growth.
  • Other info: Full-time role based in London; no visa sponsorship available.
  • Why this job: Join a dynamic team and make an impact with your analytical skills.
  • Qualifications: PhD-level academic achievement and proficiency in C++, Java, or Python.

The predicted salary is between 40000 - 50000 € per year.

Quant Capital is seeking a talented Junior Quantitative Researcher/Developer in London to analyze large-scale real-world data sets. The ideal candidate should have a strong quantitative background, good attention to detail, and significant academic achievement at PhD level. Proficiency in programming languages such as C++, Java, or Python is essential. This full-time role does not provide visa sponsorship. Competitive compensation is offered.

Junior Quantitative Researcher – Applied Scientist (London) employer: Quant Capital

At Quant Capital, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. As a Junior Quantitative Researcher in London, you will have access to competitive compensation, ongoing professional development opportunities, and the chance to work with cutting-edge technology in a vibrant city known for its financial and tech sectors. Join us to be part of a team that values your contributions and supports your growth in the exciting field of quantitative research.

Quant Capital

Contact Detail:

Quant Capital Recruiting Team

StudySmarter Expert Advice🀫

We think this is how you could land Junior Quantitative Researcher – Applied Scientist (London)

✨Tip Number 1

Network like a pro! Reach out to professionals in the quantitative research field on LinkedIn or at industry events. A friendly chat can open doors that a CV alone can't.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving data analysis or programming. This gives us a tangible way to see what you can do beyond your academic achievements.

✨Tip Number 3

Prepare for technical interviews! Brush up on your programming languages like C++, Java, or Python. Practice coding challenges and be ready to discuss your thought process during problem-solving.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Junior Quantitative Researcher – Applied Scientist (London)

Quantitative Analysis
Attention to Detail
PhD Level Academic Achievement
C++
Java
Python
Data Analysis

Some tips for your application 🫑

Show Off Your Skills:Make sure to highlight your quantitative background and any relevant programming skills in your application. We want to see how your experience aligns with the role, so don’t hold back!

Be Detail-Oriented:Attention to detail is key for us at StudySmarter. Double-check your application for any typos or errors before hitting send. A polished application shows you care!

Tailor Your Application:Don’t just send a generic application. Tailor your CV and cover letter to reflect the specific requirements of the Junior Quantitative Researcher role. We love seeing candidates who take the time to connect their experiences to what we’re looking for.

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’s super easy!

How to prepare for a job interview at Quant Capital

✨Know Your Numbers

As a Junior Quantitative Researcher, you'll be dealing with large-scale data sets. Brush up on your quantitative skills and be ready to discuss specific methodologies you've used in your academic work. Be prepared to explain how you approached data analysis in past projects.

✨Programming Proficiency is Key

Make sure you're comfortable discussing your experience with programming languages like C++, Java, or Python. Bring examples of projects where you've applied these skills, and if possible, be ready to solve a coding problem during the interview to showcase your abilities.

✨Attention to Detail Matters

Quant roles require a keen eye for detail. Prepare to discuss instances where your attention to detail made a difference in your work. This could be anything from catching errors in data sets to ensuring accuracy in your analyses.

✨Research the Company

Before the interview, take some time to understand Quant Capital's focus and recent projects. Being able to discuss how your skills align with their goals will show that you're genuinely interested in the role and can contribute to their success.