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- Tasks: Develop and evaluate predictive signals using large datasets and design robust backtests.
- Company: Leading systematic investment team in London with a research-driven environment.
- Benefits: Direct exposure to live trading strategies and clear progression into a long-term research career.
- Why this job: Join a collaborative team and make an impact in systematic investing from day one.
- Qualifications: Master’s or PhD in a quantitative discipline with programming skills, especially in Python.
- Other info: Meritocratic culture where strong ideas are recognised and implemented quickly.
The predicted salary is between 30000 - 40000 £ per year.
We are partnering with a leading systematic investment team in London seeking an exceptional early-career Quantitative Researcher to join a high-performing, research-driven environment. This is a rare opportunity to work directly alongside experienced portfolio managers and researchers, contributing to live trading strategies from the outset. The team operates at the intersection of data science, financial theory, and advanced engineering, with a strong emphasis on original thinking and rigorous experimentation.
The Opportunity
From day one, you will be immersed in the research lifecycle—helping to generate, test, and refine alpha signals across liquid global markets. The role is designed for individuals who combine strong academic foundations with a genuine curiosity for markets and data.
You will:
- Develop and evaluate predictive signals using large, complex datasets
- Design and run robust backtests across multiple asset classes and time horizons
- Explore new modelling approaches, including statistical and machine learning techniques
- Work closely with senior researchers and developers to translate ideas into production
- Contribute to improving research infrastructure and data workflows
Who They’re Looking For
This role targets high-potential junior talent ready to step into a front-office research environment. You should meet one of the following criteria:
- A Master’s graduate (from a leading/red-brick university) with relevant internship experience in quant research, trading, or data science
- A recently completed or soon-to-complete PhD (2025 or 2026) in a highly quantitative discipline
In addition, you will likely have:
- Strong grounding in mathematics, statistics, physics, computer science, or a related field
- Proven programming ability (typically Python; C++ or similar is a plus)
- Experience working with data—cleaning, analysing, and extracting signal
- A methodical, research-oriented mindset with attention to detail
- A genuine interest in financial markets and systematic trading
Why This Role
- Direct exposure to live trading strategies from an early stage
- Highly collaborative, intellectually rigorous team culture
- Meritocratic environment where strong ideas are quickly recognised and implemented
- Clear progression into a long-term research career within systematic investing
Additional Requirements
- Ability to start no later than September 2026
- Right to work in the UK (or ability to secure it quickly)
Junior Quantitative Researcher - Systematic Strategies in City of London employer: Eka Finance
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Quantitative Researcher - Systematic Strategies in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the quantitative research field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving predictive signals or backtesting. This is your chance to demonstrate your programming prowess and analytical mindset to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common quantitative research questions and coding challenges to impress your interviewers.
✨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 Junior Quantitative Researcher - Systematic Strategies in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Junior Quantitative Researcher role. Highlight any relevant internships or projects that showcase your quantitative skills and programming abilities.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about quantitative research and financial markets. Share specific examples of your curiosity and how you've applied your academic knowledge in practical settings.
Showcase Your Technical Skills: Don’t forget to mention your programming skills, especially in Python or C++. If you’ve worked with data analysis or machine learning techniques, make sure to include those experiences to stand out.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the quickest way for us to see your application and get you into the process!
How to prepare for a job interview at Eka Finance
✨Know Your Numbers
Brush up on your mathematical and statistical knowledge. Be prepared to discuss concepts like predictive modelling, backtesting, and data analysis. Showing that you can talk confidently about these topics will impress the interviewers.
✨Show Your Curiosity
Demonstrate your genuine interest in financial markets and systematic trading. Bring examples of how you've explored these areas, whether through projects, internships, or personal research. This will highlight your passion and fit for the role.
✨Master Your Programming Skills
Make sure you're comfortable with Python and any other relevant programming languages. Be ready to discuss your experience with data cleaning and analysis. If you can share specific examples of projects where you applied these skills, even better!
✨Prepare Thoughtful Questions
Think of insightful questions to ask your interviewers about their research processes, team dynamics, or the technologies they use. This shows that you're not just interested in the job, but also in how you can contribute to their success.