Applied Deep Learning Quantitative Researcher

Millennium; Hong Kong; On-site; HKD 600,000 - 1,200,000; Full time

Job summary

Millennium in Hong Kong seeks a senior deep learning researcher to design and build the firm’s core DL pipelines for applied quantitative alpha research, from data preparation to production deployment.

You will own substantial portions of the research agenda, ensure rigorous out-of-sample validation, and collaborate across research and engineering to scale models and improve performance.

Qualifications

• 3–5 years of professional experience applying deep learning to large-scale problems, preferably in quantitative finance.
• Proof of end-to-end ownership of deep learning model lifecycle on production or research lines.
• Deep expertise in Python and a modern DL framework.
• Hands-on experience with large-scale model training: distributed GPUs, mixed precision, and profiling.
• Strong foundations in statistics, optimization, and ML theory.

Responsibilities

• Design and build deep learning pipelines for applied quantitative alpha research including data prep, distributed training, evaluation, and deployment.
• Drive a major portion of the research agenda with end-to-end empirical work: problem formulation, model design, training, validation, and attribution.
• Maintain rigorous research discipline with out-of-sample hygiene and honest benchmarking against baselines.
• Advise on architecture choices and training diagnostics; review model designs and promote evaluation standards.
• Enable smooth model fitting and computation across teams via standardized training interfaces and reusable components.

Skills

Deep learning

Python

DL framework

Distributed training

Mixed precision

Experiment tracking

Hyperparameter optimization

Statistics

Optimization

Communication

C++

CUDA

Education

PhD in Computer Science / Engineering / Physics / Mathematics / Statistics

Tools

C++

CUDA

Job description

Millennium in Hong Kong seeks a senior deep learning researcher to design and build the firm’s core DL pipelines for applied quantitative alpha research, from data preparation to production deployment.

You will own substantial portions of the research agenda, ensure rigorous out-of-sample validation, and collaborate across research and engineering to scale models and improve performance.