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:
- 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.