maneki.
POST
MANEKI/JOBS/MATRIXPORT
Matrixport
Matrixport
48 open roles on Maneki

Quantitative Strategy Researcher Intern(Deep Learning Focus)

on site
LOCATION
hong kong
POSTED
1w ago
APPLY DIRECTLY
Application goes to Matrixport's own career page
APPLY ON HK →
Maneki aggregates jobs from top Web3 companies. We redirect you to the original posting — no middleman, no added steps.

Required skills

Data MiningMachine LearningDeep LearningQuantitative AnalysisCritical ThinkingProblem SolvingResearch

Job description

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:

  1. Perform in-depth data mining and modeling to develop machine learning and medium/high-frequency trading strategies.
  2. Track factor performance, conduct quantitative backtesting, simulation, and follow-up improvement work.

Requirements:

  1. Strong learning ability, good at critical thinking, and capable of solving problems independently; strong curiosity and self-motivation.
  2. Proficient in the optimization and iteration of machine learning (deep learning) models, and possessing innovative research capabilities.
  3. Excellent programming skills, proficient in at least two programming languages, and skilled in using Tensorflow/Pytorch.
  4. 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).
  5. 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.


By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Policy. < https://www.bit.com/privacy-candidate >