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Deep Learning Quant Researcher

Hong Kong, Hong Kong SAR

HKD 300K-300K (estimate) Mid-level Full Time

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Found 1d ago

Tasks

Adapt open source AI tools
Analyze financial market data
Backtest models on historical and real time data
Build custom model architectures
Collaborate to train and debug systems
Conduct experiments and hyperparameter tuning
Contribute to training and inference libraries
Deploy models for ultra low latency
Enhance risk management
Evaluate model performance in dynamic markets
Invent deep learning models
Mentor junior team members
Optimize order execution
Present research findings

Perks/Benefits

Skills/Tech-stack

Backtesting | C++ | CUDA | Convolutional Neural Networks | Data Analysis | Deep learning | Distributed Training | GPU Computing | Generative Modeling | Hugging Face | Hyperparameter Tuning | Language Processing | Low Latency | Low-Latency Systems | Machine Learning | Natural Language | Natural Language Processing | Neural Networks | Probability | PyTorch | Python | Reinforcement Learning | Series analysis | Statistics | TensorFlow | Time Series | Time Series Analysis | Transformers

Education

Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science | PhD

Roles

AI Researcher | Deep Learning AI Researcher | Machine Learning Researcher | Researcher

Regions

Countries

Cities

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