Hybrid Quant Researcher: AI-Driven Market Analytics

Finstock, Inc.; Hong Kong; Hybrid; HKD 450,000 - 800,000; Full time

Job summary

Finstock, Inc. in Central, Hong Kong seeks a Quantitative Researcher to research, test, and evaluate quantitative signals, market patterns, statistical models, backtesting workflows, and risk-aware analytics for its AI-powered financial research platform.

Based in Central, Hong Kong, this full-time hybrid role collaborates with data, AI, product, and engineering teams to turn quantitative ideas into tested outputs, model diagnostics, and product-ready insights while upholding rigorous

Qualifications

• 2+ years of experience in quantitative research or related roles.
• Strong Python proficiency for data analysis, modeling, and backtesting.
• Solid understanding of statistics, time-series, regression, and quantitative finance concepts.
• Experience with financial market data, APIs, and large research datasets.
• Experience with Python libraries: pandas, NumPy, SciPy, statsmodels, scikit-learn, matplotlib.
• Ability to design backtests and avoid common research pitfalls (overfitting, look-ahead bias, data leakage).
• Strong analytical thinking and ability to communicate complex findings clearly.
• Excellent written communication and emphasis on reproducible research.

Responsibilities

• Research, design, and evaluate quantitative signals and statistical indicators.
• Build and maintain backtesting workflows to evaluate strategies and risk-adjusted returns.
• Analyze model performance with metrics like Sharpe ratio, information ratio, and drawdown.
• Develop notebooks, scripts, and reproducible research documentation.
• Collaborate with Data, AI, Product, and Engineering teams to translate ideas into tools and dashboards.
• Ensure data quality, dataset structure, and research reliability.

Skills

Python for data analysis

Backtesting

Statistics / time-series

Financial market data

Pandas / NumPy / SciPy

Documentation / reproducible research

Hybrid collaboration

Written communication

Attention to detail

Hong Kong eligibility

Hybrid work environment

Education

Masters or PhD in quantitative field

Tools

Git / GitHub

Market data platforms

Python research environment

Microsoft 365

Job description

Finstock, Inc. in Central, Hong Kong seeks a Quantitative Researcher to research, test, and evaluate quantitative signals, market patterns, statistical models, backtesting workflows, and risk-aware analytics for its AI-powered financial research platform.

Based in Central, Hong Kong, this full-time hybrid role collaborates with data, AI, product, and engineering teams to turn quantitative ideas into tested outputs, model diagnostics, and product-ready insights while upholding rigorous