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Macro Futures Quant Researcher (London)

Anson McCade
London
11 months ago
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Research Associate in Physics-Informed Machine Learning for Crowd Dynamics

Principal Engineer, Artificial Intelligence

Responsibilities:

  • Develop systematic trading models across fixed income, currency and commodity (FICC) markets
  • Manage the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation
  • Perform feature engineering with price-volume, order book, and alternative data for intraday to daily horizons in mid frequency trading space
  • Perform feature combination and monetization using various modeling techniques
  • Assist in building, maintenance, and continual improvement of production and trading environments coupled with execution monitoring.
  • Contribute to the research infrastructure of the team.

 

Requirements:

  • Background in mathematics, statistics, machine learning, computer science, engineering, quantitative finance, or economics
  • 2-5 years of experience in macro quantitative trading, preferably FICC
  • Experience synthesizing predictive signals for both cross-sectional and time-series models driven by
  • statistical/technical, fundamental, and data driven signals
  • Ability to efficiently format and manipulate large, raw data sources
  • Strong experience with data exploration, dimension reduction, and feature engineering
  • Demonstrated proficiency in Python. Familiarly with data science toolkits, such as scikit-learn, Pandas. Experience with machine learning is a plus
  • Strong command of foundations of applied and theoretical statistics, linear algebra, and machine learning techniques
  • Collaborative mindset with strong independent research abilities
  • Commitment to the highest ethical standards

 

We regret to inform that only shortlisted candidates will be notified.

 

EA license number: 24S2098 (Anson McCade Pte. Ltd.)

Reg No.: R1544685 (Won Seng Lee)

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