Applied ML Researcher - Quantitative Trading & AI

Metabit; Hong Kong Island; Presencial; HKD 420.000 - 900.000; Tempo integral

Benefícios oferecidos por esta vaga

NOI/ICPC/CMO/CPhO winner

Top CS/Stats publications

Kaggle competition winner

Internship in Prop Shop/Hedge Fund/Teh

Resumo da vaga

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.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Python programming

Linux

Probability & statistics

Communication

Formação

World-renowned university degree in STEM

Ferramentas

Python scientific libraries

Descrição da vaga

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.