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- Tasks: Build and test investment models using stats, optimisation, and machine learning techniques.
- Company: Dynamic quantitative investment firm based in London.
- Benefits: Hands-on experience, collaborative environment, and exposure to real-world financial markets.
- Why this job: Kickstart your career by applying research to impactful trading models.
- Qualifications: 0-2 years experience and a degree in a quantitative field.
- Other info: Great opportunity for growth and learning in a fast-paced industry.
The predicted salary is between 36000 - 60000 £ per year.
I'm currently working with a quantitative investment firm seeking an early-career Quantitative Researcher to join their research team. This role offers hands-on exposure to building and testing investment models using statistical, optimisation, and machine learning techniques.
You will work with large datasets, design experiments, collaborate closely with engineers, and help translate research into production-ready trading models.
Key requirements:- 0–2 years' experience through internships, academic or independent projects
- Degree (BSc/MSc/PhD) in a quantitative discipline (graduating Dec 2025 – June 2026)
- Strong foundations in statistics, probability, and linear algebra
- Working knowledge of Python or C++
- Curiosity about financial markets and strong problem-solving skills
- Machine learning frameworks
- Time-series analysis
- Optimisation
- Research publications
If you're interested in applying quantitative research to real-world markets, please get in touch.
Junior Quant in London employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Quant in 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 and give you insights that might just land you that Junior Quant role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python or C++. This is your chance to demonstrate your problem-solving abilities and curiosity about financial markets—make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your statistics and machine learning knowledge. Practice explaining complex concepts in simple terms; this will help you communicate effectively with both technical and non-technical team members.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for fresh talent, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Junior Quant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that match the job description. We want to see how your background in statistics, probability, and programming fits with our needs.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your curiosity about financial markets and how your problem-solving skills can contribute to our team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any projects related to quantitative research, make sure to mention them! We love seeing practical applications of your skills, especially if they involve Python or C++.
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. Don’t miss out!
How to prepare for a job interview at Harrington Starr
✨Know Your Numbers
Brush up on your statistics, probability, and linear algebra. Be ready to discuss how these concepts apply to real-world scenarios, especially in finance. We recommend preparing examples from your academic or project work that showcase your understanding.
✨Show Off Your Coding Skills
Since knowledge of Python or C++ is crucial, make sure you can talk about your experience with these languages. We suggest reviewing any relevant projects you've worked on and being prepared to explain your code or algorithms during the interview.
✨Demonstrate Your Curiosity
Employers love candidates who are genuinely interested in financial markets. We advise you to read up on current trends and be ready to discuss them. This shows that you're not just looking for a job, but that you're passionate about the field.
✨Prepare for Problem-Solving Questions
Expect to face some problem-solving scenarios during the interview. We recommend practising common quantitative problems or case studies. Think aloud as you work through these problems to demonstrate your thought process and analytical skills.
