Quantitative Researcher - AI / ML
Core
Develop and improve AI-driven quantitative investment strategies in financial markets, focusing on alpha generation, data processing, and model implementation for the China research team.
Role type
Senior IC quantitative researcher (AI/ML)
Builds
AI-enhanced investment strategies, trading cost models, and dynamic portfolio construction tools
Domain
Alternative investment management / Financial markets / Machine Learning
Deliverable
production ML models
Required skills
Advanced ML theory (optimization, probabilistic modeling, deep learning), experience with large-scale foundation models and fine-tuning, cloud environment management, statistical analysis, feature engineering, NLP and LLM application
Preferred skills
Prior experience in investment fields, strong publication record in top-tier ML conferences (NeurIPS, ICML, ICLR, ACL)
Technologies
Large language models (LLMs), transformers, diffusion models, reinforcement learning, multi-machine CPU/GPU setups
Responsibilities
Identify novel investment signals using LLMs and alternative data pipelines; design and implement deep learning and statistical ML models for backtesting; translate complex model outputs into actionable investment insights; conduct research on AI-enhanced implementation aspects including trading cost models and portfolio optimization
Seniority
Senior, hands-on IC