About BIT：
BIT (formerly Matrixport) is a global digital asset financial services and infrastructure group. Headquartered in Singapore and founded in 2019, BIT bridges traditional finance and digital assets through governance-driven financial services and technology.
The firm manages over US$7 billion in assets and facilitates more than US$7 billion in monthly trading volume. BIT offers services including custody, trading, asset and wealth management, liquidity and financing solutions, and tokenised real-world assets (RWA), serving institutional and professional investors globally.
BIT Group entities maintain a licensed and regulated footprint across Singapore, Hong Kong, Switzerland, the United Kingdom, the United States and Bhutan.
For more information, visit www.bit.com
ABOUT THE ROLE
Job Responsibilities:
- Perform in-depth data mining and modeling to develop machine learning and medium/high-frequency trading strategies.
- Track factor performance, conduct quantitative backtesting, simulation, and follow-up improvement work.
Requirements:
- Strong learning ability, good at critical thinking, and capable of solving problems independently; strong curiosity and self-motivation.
- Proficient in the optimization and iteration of machine learning (deep learning) models, and possessing innovative research capabilities.
- Excellent programming skills, proficient in at least two programming languages, and skilled in using Tensorflow/Pytorch.
- Preferred qualifications: Experience in numerical optimization and ability to quickly reproduce State-of-the-art results, OR having published relevant papers in top international conferences or journals (including but not limited to NIPS, ICML, CVPR, AAAI).
- Master’s degree or higher (or an exceptionally outstanding Bachelor’s degree, prefer 985) in a Science or Engineering major. Preference is given to candidates with excellent achievements in top industry competitions or relevant quantitative strategy work/internship experience.
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