Deep Learning Researcher for Quant Trading & AI

IMC; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering value and risk management to investors.

We build proprietary systems and algorithms that operate across global markets, turning insight into execution through rapid experimentation.

Qualifications

• PhD or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Engineering, or a related quantitative field
• 3+ years of experience conducting deep learning research and developing large-scale machine learning systems
• Demonstrated expertise in modern deep learning architectures, including transformers, sequence models, representation learning, self-supervised learning, and/or generative models
• Strong understanding of the theoretical foundations underlying deep learning, optimization, statistical learning, and neural network training dynamics
• Experience training and deploying large-scale models in distributed computing environments; experience with large-scale pretraining is highly valued
• Strong programming skills in Python and hands-on experience with PyTorch, JAX, TensorFlow, and associated ecosystem tools
• Experience building scalable ML infrastructure, experimentation platforms, and model deployment systems
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences
• Demonstrated ability to thrive in a highly collaborative, research-driven environment

Responsibilities

• Build and improve advanced deep learning models to enhance trading performance across multiple asset classes
• Innovate in areas such as representation learning, transformers, foundation models, generative AI, reinforcement learning, and other emerging deep learning techniques
• Research, prototype, and evaluate novel neural network architectures and training methodologies applicable to market state prediction, signal generation, execution optimization, and portfolio construction
• Support large-scale data curation, feature representation, self-supervised learning, and multimodal learning from structured and unstructured datasets
• Partner with quantitative traders, researchers, and engineers to translate market insights and business objectives into scalable deep learning solutions
• Stay at the forefront of academic and industry developments in deep learning and share relevant research with the team

Skills

Deep learning research

Transformers

Self-supervised learning

Python

PyTorch

JAX

TensorFlow

Distributed training

Model deployment

Communication

Education

PhD in Computer Science / ML / AI

Master's in a related quantitative field

Tools

PyTorch

JAX

TensorFlow

ML infrastructure tools

Job description

IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering value and risk management to investors.

We build proprietary systems and algorithms that operate across global markets, turning insight into execution through rapid experimentation.