Quantitative Researcher — Alpha Signals & ML

Verition Group LLC; Hong Kong; On-site; HKD 783,699 - 1,567,398; Full time

Job summary

Verition Group LLC is seeking a Quant Researcher to develop and implement complex models and algorithms for alpha generation across asset classes. You will blend statistics, algorithm development, and market insight to inform investment decisions and risk management.

The role requires strong Python/R/MATLAB skills, experience in ML and big data analytics, and the ability to convey complex ideas to non-technical stakeholders. Collaboration with PMs and traders is essential.

Qualifications

• Degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Solid experience in quantitative analysis with a proven track record in alpha generation.
• Strong skills in Python, R, MATLAB, or similar tools for complex data analysis and model development.
• Experience with machine learning, AI, and big data analytics in finance is a plus.

Responsibilities

• Develop and implement models and strategies focused on alpha generation across asset classes using statistical and ML techniques.
• Perform complex data analysis to uncover patterns and predictive signals in market data; build forecasting and risk models.
• Study market dynamics to develop strategies capitalizing on anomalies and trends.
• Design algorithms for execution and portfolio optimization aligned with alpha goals.
• Collaborate with portfolio managers and traders to provide insights and recommendations.
• Monitor and refine deployed strategies based on performance data.

Skills

Python

R

Mathematical Modeling

Machine Learning

Data Analysis

Communication

Education

Bachelor's degree in Mathematics/Statistics/CS/Finance

Master's or PhD preferred

Tools

MATLAB

Python

R

Job description

Verition Group LLC is seeking a Quant Researcher to develop and implement complex models and algorithms for alpha generation across asset classes. You will blend statistics, algorithm development, and market insight to inform investment decisions and risk management.

The role requires strong Python/R/MATLAB skills, experience in ML and big data analytics, and the ability to convey complex ideas to non-technical stakeholders. Collaboration with PMs and traders is essential.