At a glanceSummarised by Seekless from the posting.
Must have5
Grades from a World-Renowned University, majoring in Computer Science, Mathematics, Physics, Statistics, or other related STEM fields
Familiarity with Linux environment
Strong Python programming skills, and proficiency in Python scientific computing libraries
Excellent probability and statistics skills, and rigorous research habits
Good communication and logical thinking skills
Nice to have4
Experience and outstanding results in competitions such as NOI, ICPC, CMO, CPhO, etc.
Publication in top CS/Stats journals/conferences
Kaggle ML competition winner
Internship/work experience in a Prop Shop, Hedge Fund, or Tech company
Skills
Python
Linux
scikit-learn
pandas
NumPy
ML/RL
CV/NLP
RL/Optimization
Stochastic Processes
Job Responsibilities
If you are interested in statistics and data mining, you can participate in Feature Engineering research based on the company’s self-developed ML/RL framework;
If you are interested in the application of ML/DL in AI quantitative analysis, you can participate in machine learning model research;
If you are interested in tools such as RL/Optimization, you can participate in portfolio optimization research;
If you are interested in knowledge in fields such as CV/NLP, you can participate in Alternative Alpha research;
If you are interested in models such as RL/Stochastic Processes, you can participate in order placement algorithms and impact models research;
In addition, you will collaborate with the engineering team to provide detailed and comprehensive requirements and code contributions for the company’s self-developed distributed systems, data platforms, and trading systems. Your work will ultimately have a direct impact on our research and live trading.
Requirements
•
Grades from a World-Renowned University, majoring in Computer Science, Mathematics, Physics, Statistics, or other related STEM fields;
•
Familiarity with Linux environment, strong Python programming skills, and proficiency in Python scientific computing libraries;
•
Excellent probability and statistics skills, and rigorous research habits;
•
Good communication and logical thinking skills.
Bonus points:
Nice to have
•
Experience and outstanding results in competitions such as NOI, ICPC, CMO, CPhO, etc.;
•
Publication in top CS/Stats journals/conferences;
•
Kaggle ML competition winner;
•
Internship/work experience in a Prop Shop, Hedge Fund, or Tech company.