Quantitative Strategy Researcher, Equities & Derivatives

Huatai International Financial Holdings Company Limited; Hong Kong; On-site; HKD 540,000 - 720,000; Full time

Job summary

Huatai International Financial Holdings Company Limited is seeking graduates for quantitative research roles in Hong Kong. You will contribute to the design of quantitative investment strategies supporting the QIS business, including multi-factor stock pricing models, multi-asset allocation, CTA strategies, and statistical arbitrage.

Responsibilities include data modeling, analyzing, backtesting and database operations, with a strong focus on statistics, modeling, and programming in Python,

Qualifications

• Recent graduates with a master’s degree or above in Mathematics, Computer Science, Financial Engineering or related fields.
• Solid knowledge in statistics and quantitative modeling; proficient in Python, Matlab or R; good working knowledge of SQL.
• A strong passion for quantitative research, highly self-motivated, rigorous and detail-oriented, and the ability to thrive in a fast-paced, high-pressure environment.
• Candidates with research experience in machine learning or deep learning are preferred.

Responsibilities

• Contribute to the design of quantitative investment strategies supporting the QIS business, including multi-factor stock pricing models, multi-asset allocation, CTA strategies, and statistical arbitrage, etc.
• Perform data modeling, analyzing, backtesting and database operations.

Skills

Statistics & quantitative modeling

Python

Matlab

R

SQL

Education

Master's degree or higher

Job description

Huatai International Financial Holdings Company Limited is seeking graduates for quantitative research roles in Hong Kong. You will contribute to the design of quantitative investment strategies supporting the QIS business, including multi-factor stock pricing models, multi-asset allocation, CTA strategies, and statistical arbitrage.

Responsibilities include data modeling, analyzing, backtesting and database operations, with a strong focus on statistics, modeling, and programming in Python,