Quant Researcher/Trading Strategist
02-05-2024
Job Type
Permanent
Emp Type
Full Time
Salary Type
Annual
Salary
Negotiable
Job ID
32367
Job Description
Introduction:
Our client is a Global Leading Quant Funds with a competitive AUM in the industry. They work on a diversity of asset classes and strategies. The trading team comes from top-notch markets and schools.
Responsibilities:
- Promote all aspects of quant strategy through in-depth exploration and research of data and statistical methods
- Flexible use of the latest programming and analysis tools to extract patterns in multivariate data such as microstructure, transactions, fundamentals, and events
- Applied patterns and algorithms through rigorous linear, nonlinear, and machine-learning methods including modeling
- Responsible for the development, construction, testing, optimization, and risk management of strategies, as well as evaluating strategy performance
Requirements:
- Strong STEM academic background in Statistics, Physics, Mathematics, Engineering, and Computer Science
- 3-5 years of experience in trading/machine learning/quants/data analysis
- Strong in Python
- Ability to excel at both open-ended research explorations and time-sensitive concrete projects
- Preferred to have experience in Mid-High Frequency, Data Mining, and Machine Learning experience
- Participants in competitions such as WorldQuant or Kaggle is a plus
- Candidates with PnL Track records will be considered as Portfolio Managers
Highlight:
- Competitive package in the industries
- Flexible working schedule
- High Retention Rate
- International and dynamic culture