Quant Researcher
Công Ty TNHH Shelby GLOBAL
Mô tả công việc
Design quantitative methods to analyze market data, trading statistics. Translate trading strategies into mathematical models, algorithms. Finding alpha and making profits. In charge of performance returns. Build custom computational data analysis tools to explore new quant research ideas. Design mathematical models to test, visualize and refine trading ideas before implementation. Coordinate with developers to implement new and improved quantitative trading models. Generate incomes, PNL as per KPI.
Yêu cầu công việc
Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering, or computer science. Strong programming skills in an object-oriented or functional paradigm such as C++, Rust, Python. Deep understanding the US markets and Vietnam markets, stock, futures, commodity and/or options. Expertise in deep learning, machine learning, and quantitative trading. Proven experience in developing and deploying advanced AI/ML models in competitive quant firms. Ability to work autonomously and solve complex technical problems. Development and use of computational data analysis tools for research. Statistical programming techniques and best practices. Financial theory, financial mathematics, or financial engineering.
Quyền lợi
Salary: Negotiate, depending on level/experience. Benefits include 13th-month salary, KPI-based bonus, 12 days annual leave, and basic statutory insurance (insurance contributions based on the basic salary).