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- Tasks: Develop and evaluate predictive signals using complex datasets and contribute to live trading strategies.
- Company: Leading systematic investment team in London with a high-performing, research-driven culture.
- Benefits: Collaborative environment, meritocratic culture, and clear progression into a long-term research career.
- Why this job: Gain direct exposure to live trading strategies and work alongside experienced portfolio managers.
- Qualifications: Master’s or PhD in a quantitative discipline with programming skills and a passion for financial markets.
- Other info: Ideal for high-potential junior talent ready to thrive in a dynamic research environment.
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 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
✨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 an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving predictive signals or data analysis. This is your chance to demonstrate your programming prowess and analytical mindset.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and market trends. Be ready to discuss your thought process behind modelling approaches and backtesting strategies—this is where we can really shine!
✨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
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data and financial markets shine through. We want to see that genuine curiosity you have for exploring complex datasets and how they can drive trading strategies.
Highlight Relevant Experience: Make sure to showcase any relevant internships or projects you've worked on, especially those involving quantitative research or data science. We love seeing how you've applied your skills in real-world scenarios, so don't hold back!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your writing is easy to follow and highlights your key achievements without unnecessary fluff.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity with our systematic investment team.
How to prepare for a job interview at Eka Finance
✨Know Your Numbers
Brush up on your mathematical and statistical knowledge, as these will be crucial in the role. Be prepared to discuss specific techniques you've used in past projects or internships, especially those related to predictive modelling or data analysis.
✨Showcase Your Programming Skills
Make sure you can talk confidently about your programming experience, particularly with Python. If you've worked with C++ or similar languages, mention that too! Consider bringing along a portfolio of code snippets or projects that demonstrate your abilities.
✨Demonstrate Curiosity
This role is all about original thinking and experimentation. Prepare to discuss how you've approached problem-solving in the past, especially in relation to financial markets or data science. Show them your genuine interest in exploring new modelling approaches!
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with thoughtful questions about the team’s research processes or current projects. This not only shows your interest but also helps you gauge if the environment aligns with your career goals.