Quant Research Intern

1 week ago

London Area, United Kingdom -103f-47dd-9e4a-6e4d372a2979 Full time £60,000 - £120,000 per year

Job Overview

We are looking for a
Quantitative Research Intern
to join our fast-growing digital asset trading team. This role offers the opportunity to apply cutting-edge
machine learning
and
statistical modelling
to identify inefficiencies and uncover alpha in global crypto markets. You will work closely with experienced researchers and developers to design, implement, and optimise systematic trading strategies in a data-intensive, high-performance environment.

Location

London / Hong Kong

Key Responsibilities

  • Research and develop
    mid- to high-frequency systematic trading strategies
    using advanced statistical, econometric, and machine learning techniques.
  • Analyse
    large-scale, real-time market data
    to detect microstructure patterns, market inefficiencies, and predictive signals.
  • Backtest, optimise, and monitor
    strategies across simulated and live trading environments.
  • Collaborate with the engineering team to
    enhance trading infrastructure
    , data pipelines, and research tools for scalability and robustness.
  • Contribute to the
    continuous evolution of the research framework
    , including feature engineering, simulation engines, and model evaluation processes.
  • Maintain rigorous
    risk control
    and ensure all research and trading activities comply with internal and regulatory standards.

Requirements

  • Master's or PhD in
    Finance, Mathematics, Physics, Statistics, Engineering, or Computer Science
    .
  • Strong grasp of
    linear algebra, probability, statistics, and regression analysis
    .
  • Demonstrated interest or experience in
    quantitative research or systematic trading
    .
  • Proficiency in
    Python
    and familiarity with
    C++
    or other object-oriented programming languages.
  • Experience with
    machine learning models
    (e.g. gradient boosting trees, deep learning) for signal discovery or time-series prediction is highly desirable.
  • Mandarin fluency is a plus.

What we offer:

  • Exposure to a high-impact, data-driven trading environment.
  • Mentorship from senior quantitative researchers and technologists.
  • Opportunity to apply
    ML-driven approaches
    to real-world trading problems and alpha generation.

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