Lead Quant Researcher: Alpha Discovery & Live Trading

Pinpoint Asia; Hong Kong; On-site; HKD 900,000 - 1,800,000; Full time

Job summary

Pinpoint Asia seeks a senior quantitative researcher to lead end-to-end research for systematic trading strategies, from alpha discovery to live monitoring and production deployment.

You will analyze large, multi-timeframe datasets using advanced statistics and machine learning to build predictive models for production environments, collaborating with a global team to optimize signals and monetization over time.

Qualifications

• Advanced degree in Mathematics, Statistics, CS, Physics, Engineering, or related quantitative field.
• 2–8+ years of direct experience in quantitative research, systematic trading, or high-dimensional data science/machine learning.
• Strong proficiency in Python (NumPy, Pandas, SciPy) or equivalent languages (C++, R, C#).
• Solid foundation in applied statistics, linear algebra, time-series analysis, and predictive modeling techniques.
• Experience processing, cleaning, and extracting signals from large, complex, multi-timeframe datasets.
• High autonomy with ability to collaborate in a global, team-oriented setting.

Responsibilities

• Alpha & Signal Discovery: identify predictive signals from market and alternative datasets.
• End-to-end research pipeline: hypothesis testing, feature engineering, model training, back-testing, portfolio construction, risk management.
• Implement signal logic and datasets into the firm's execution platform; monitor live model performance and optimize over time.

Skills

Python

Machine learning

Statistics

Time-series analysis

Data processing

Education

Master’s or PhD in quantitative field

Tools

NumPy

Pandas

SciPy

C++

R

C#

Job description

Pinpoint Asia seeks a senior quantitative researcher to lead end-to-end research for systematic trading strategies, from alpha discovery to live monitoring and production deployment.

You will analyze large, multi-timeframe datasets using advanced statistics and machine learning to build predictive models for production environments, collaborating with a global team to optimize signals and monetization over time.