Researcher - 2027 New Grad

Metabit; Hong Kong Island; On-site; HKD 420,000 - 900,000; Full time

Benefits offered by this job

NOI/ICPC/CMO/CPhO winner

Top CS/Stats publications

Kaggle competition winner

Internship in Prop Shop/Hedge Fund/Teh

Job summary

Metabit in Hong Kong seeks a research-minded candidate to join our ML/RL research efforts across statistics, data mining, and AI quantitative analysis. You will contribute to feature engineering research and collaborate with the engineering team on distributed systems and trading platforms.

The role emphasizes strong Python programming, Linux proficiency, and rigorous statistical methods. A world-renowned STEM degree and demonstrated excellence in competitions or publications are valued.

Qualifications

• World-renowned university degree in CS, Math, Physics, Statistics, or related STEM field.
• 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.

Responsibilities

• Participate in Feature Engineering research based on the company's ML/RL framework.
• Engage in machine learning model research for AI quantitative analysis.
• Research portfolio optimization and Alpha-related topics as applicable.
• Collaborate with the engineering team to contribute requirements and code for distributed systems and data platforms.
• Contribute to live trading research and model deployment for production use.

Skills

Python programming

Linux

Probability & statistics

Communication

Education

World-renowned university degree in STEM

Tools

Python scientific libraries

Job description

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 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.