Junior Quant Researcher – Buy-Side (London)
Role Overview
We are partnering with several 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
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Contact Details:
Marlin Selection Recruitment Recruitment Team
