Quantitative Researcher - Experienced (DV Equities)

Location: Hong Kong

Company

hirify.global is a proprietary financial trading firm that develops trading strategies, manages risk, and provides liquidity across worldwide financial markets.

What you will do

• Analyze market data to identify patterns, inefficiencies, and predictive signals across multiple time horizons.
• Build and backtest quantitative models using historical market data.
• Apply statistical and machine learning techniques, including tree-based methods, to improve signal quality.
• Collaborate with researchers and traders to turn research findings into production-ready trading strategies.
• Develop and maintain data pipelines for large-scale, high-frequency, and time-series market data.
• Monitor live signals and models, iterating based on performance.

Requirements

• At least 2 years of professional or research experience in high-frequency research and/or longer-term signal generation.
• Degree in mathematics, statistics, computer science, physics, engineering, financial engineering, or a related quantitative field.
• Strong Python skills, including pandas, NumPy, and other standard data science libraries.
• Solid foundation in statistics and quantitative analysis, with strong problem-solving and analytical skills.
• Genuine interest in financial markets and market microstructure.
• Ability to communicate technical findings clearly to technical and non-technical audiences.

Nice to have

• Familiarity with tree-based methods such as Random Forest, XGBoost, or LightGBM.
• Experience in a proprietary trading or hedge fund environment.
• Experience with C++ or other low-level programming languages.

Culture & Benefits

• Work with senior researchers and traders across offices in New York, London, and Hong Kong.
• Own the full research cycle from data exploration and model development to production deployment and live monitoring.
• Collaborate within a global financial markets organization with more than 600 employees.
• Inclusive workplace and equal opportunity employment environment.