Job offer

Quantitative Researcher – AI/ML

The Quantitative Researcher – AI/ML develops and innovates artificial intelligence-driven quantitative investment strategies in financial markets as part of a dedicated research team in China. The role involves developing alpha generation, data engineering, modeling, and strategy implementation using machine learning and AI techniques.

Job description

Quantitative Researcher – AI/ML in Shanghai.

Key competencies

  • Advanced studies in computer science, statistics, mathematics, finance/economics, or a related quantitative field, and/or a Ph.D.
  • A passion for investment research, backed by a strong infrastructure and the ability to think outside the box
  • Experience with Python or similar programming languages, ideally with expert knowledge of TensorFlow/PyTorch
  • An impressive publication record or a dissertation in ML/AI at leading conferences such as NeurIPS, ICLR, IJCAI, ACL, etc.
  • Experience with cloud environments and multi-manager GPU/CPU setups
  • Ability to clearly communicate complex ideas; strong collaboration skills to work with other teams to turn ideas into products
  • Previous experience in the investment field is a plus, but not required

Your tasks

Develop and innovate AI-driven quantitative investment strategies in financial markets as part of the dedicated China research team. Support all strategies from alpha generation to trade execution and implementation, and collaborate closely with other team members to design, build, and refine strategies using cutting-edge machine learning and AI techniques. Key responsibilities include:
  • Alpha Generation and Idea Discovery: Using Large Language Models (LLMs), NLP, and Alternative Data Pipelines to Identify New Investment Signals
  • Data engineering: Importing, labeling, and processing historical and real-time datasets, and applying feature engineering techniques to collect, clean, and structure complex datasets for large-scale modeling
  • Modeling and Statistical Analysis: Design and Implementation of Deep Learning, Reinforcement Learning, and Statistical Models
  • Strategy Implementation and Validation: Translating complex model outputs into actionable investment insights; ensuring that model communication tools are generally interpretable and explainable to stakeholders
  • Implementation Research: Conducting research on AI-enhanced implementations of investment strategies, including RL-based trading cost models, market making, AI-assisted portfolio optimization, and risk management

What we offer

  • Competitive vacation entitlements
  • Pension Funds
  • Life and long-term disability insurance
  • Group Life and Travel Insurance
  • Depending on your location, you may also be eligible for additional benefits such as private health insurance, discounted gym memberships, and pet insurance

Job details

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