Machine Learning Quantitative Researcher - Anson McCade

Anson McCade
Singapore, SG
On-site

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
Medium
Decision Impact
Company
Role Level
Individual Contributor

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Developed predictive features from market data
  • Designed ML-driven alphas for equities and futures
Typical background
Master's or PhD in quantitative disciplinesExperience in alpha research

Transferable backgrounds

  • Coming from Quantitative Researcher
  • Coming from Data Scientist

Skills & requirements

Required

Machine LearningAlpha ResearchTree-based ModelsDeep LearningNLP

Preferred

Overfitting ControlPythonC++

Stack & domain

PythonC++HftIntraday Market DataAlternative DataTree-based ModelsDeep LearningNLPFinanceQuantitative Research

About the role

Original posting from Anson McCade

$1,500,000,2,500,000 HKD

Performance-based bonus

Onsite WORKING

Location: Hong Kong, Hong Kong - China Type: Permanent

Machine Learning Quantitative Researcher - 5+ years

Anson McCade are working with a multi-strategy hedge fund with offices across New York, London, Hong Kong and Singapore. The firm is hiring Machine Learning Quantitative Researchers for an Equity/Futures team based in Hong Kong, and are targeting profiles with prior experience using Machine Learning to generate alpha in liquid markets.

Responsibilities:

  • Develop predictive features from HFT/intraday market data and alternative data.
  • Develop research pipelines for tree-based models, deep learning, NLP and related models.
  • Design ML-driven alphas for cash equities and futures.
  • Collaborate with other researchers and developers to implement signals, and optimise performance in live trading.
  • Use academic advancements in Machine Learning to develop and implement novel approaches to research.

Requirements:

  • A master's or PhD from a top-tier university in a quantitative discipline such as computer science, statistics, etc.
  • 5+ years of alpha research at a leading firm.
  • Experience in tree-based models, deep learning, LLMs/NLP, and a strong experience of overfitting-control.
  • Expert-level Python, C++ experience is preferred but not required.

Source: Anson McCade careers

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