At a Glance
- Tasks: Conduct quantitative research and develop trading strategies using data-driven insights.
- Company: Leading buy-side firms in London with a focus on systematic investing.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Fast-paced environment with excellent career advancement opportunities.
- Why this job: Join a cutting-edge team and make a real impact in finance through innovative research.
- Qualifications: First-class degree in STEM; strong programming skills in Python required.
The predicted salary is between 30000 - 40000 £ per year.
We are partnering leading buy-side firms in London who are looking to hire highly talented Junior Quant Researchers to join their investment and trading teams. This is an opportunity to work at the forefront of systematic investing, alpha research, and data-driven decision-making, contributing directly to strategy development and portfolio performance.
Key Responsibilities
- Conduct quantitative research to identify and develop new trading signals and strategies
- Analyse large and complex datasets to extract actionable insights
- Build and improve statistical and machine learning models for alpha generation
- Backtest strategies and evaluate performance, robustness, and risk characteristics
- Collaborate closely with portfolio managers, data scientists, and engineers
- Support the enhancement of research infrastructure and data pipelines
- Stay up to date with academic research and market developments
Candidate Profile
Education
- First-class degree (or equivalent) in a STEM discipline from a top-tier university e.g. Mathematics, Physics, Engineering, Computer Science, Statistics, or similar
- Strong preference for candidates with advanced degrees (MSc or PhD) from leading institutions
Technical Skills
- Strong programming ability in Python (essential)
- Experience with data analysis libraries (NumPy, Pandas, SciPy)
- Knowledge of machine learning techniques is highly desirable
- Familiarity with statistics, probability, and optimisation methods
- Experience with SQL or large datasets is a plus
Experience
- Internship or up to 2 years of experience in a quantitative, research, or data-focused role
- Exposure to financial markets, systematic trading, or asset management is beneficial but not required
Personal Attributes
- Exceptional analytical and problem-solving skills
- Strong intellectual curiosity and interest in financial markets
- Ability to work in a fast-paced, high-performance environment
- Detail-oriented with a rigorous, research-driven approach
- Strong communication skills and ability to explain complex concepts clearly
Junior Quant Researcher | Buy-Side in London employer: Marlin Selection
As a Junior Quant Researcher at our esteemed buy-side firm in London, you will thrive in a dynamic and innovative work culture that prioritises collaboration and intellectual growth. We offer competitive benefits, including professional development opportunities and access to cutting-edge research tools, ensuring you can make a meaningful impact on investment strategies while advancing your career in the heart of one of the world's leading financial hubs.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Quant Researcher | Buy-Side in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the buy-side space on LinkedIn or at industry events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative research projects, models, or any relevant work. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and market knowledge. We recommend practising coding challenges in Python and being ready to discuss your thought process behind your research.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Junior Quant Researcher | Buy-Side in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Junior Quant Researcher role. Highlight your programming abilities in Python and any relevant projects or internships that showcase your analytical skills.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about quantitative research and how your background makes you a great fit for our team. Be specific about your interest in systematic investing and any relevant coursework or projects you've undertaken.
Showcase Your Technical Skills:Don’t forget to mention your experience with data analysis libraries like NumPy and Pandas. If you've worked on machine learning models or have familiarity with SQL, make sure to include those details to stand out!
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 us you’re keen on joining our team!
How to prepare for a job interview at Marlin Selection
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific examples of your work with data. Make sure you can explain how you approached a problem, the methods you used, and the outcomes you achieved.
✨Showcase Your Programming Skills
Since strong programming ability in Python is essential, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges and be familiar with libraries like NumPy and Pandas.
✨Understand the Market
Stay updated on current trends in financial markets and systematic trading. Be prepared to discuss recent developments and how they might impact trading strategies. This shows your intellectual curiosity and genuine interest in the field.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You’ll need to collaborate with portfolio managers and engineers, so being able to communicate your ideas clearly is crucial. Consider doing mock interviews to refine this skill.
