Data Scientist (Fintech)

TL;DR

Data Scientist (Fintech): Developing predictive models and extracting signals from complex financial and alternative datasets with an accent on machine learning, statistics, and quantitative research. Focus on building scalable feature engineering workflows and conducting rigorous backtesting to ensure model robustness.

Location: On-site in Hong Kong

Company

A fast-growing technology-driven firm operating in the financial intelligence space.

What you will do

• Develop and deploy machine learning and statistical models for forecasting, pattern recognition, and financial analytics.
• Work with structured and unstructured datasets, including market data and alternative event-driven sources.
• Design and maintain scalable data preparation and feature engineering workflows.
• Conduct rigorous backtesting, validation, and performance analysis to evaluate model robustness.
• Identify proprietary indicators and predictive features to improve analytical accuracy and signal quality.
• Collaborate with cross-functional stakeholders to translate technical findings into commercial insights.

Requirements

• Bachelor’s or Master’s degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Physics, Financial Engineering, etc.).
• 2+ years of experience working with large-scale analytical or financial datasets.
• Strong foundation in statistics, probability, machine learning, and quantitative analysis.
• Advanced proficiency in Python and its data science ecosystem (Pandas, NumPy, Scikit-Learn, PyTorch, TensorFlow).
• Strong SQL and data querying capabilities.
• Must be based in or able to work on-site in Hong Kong.

Nice to have

• Familiarity with financial markets, trading concepts, or investment data.
• Experience handling high-volume or real-time datasets.