Data Scientist (Fintech)

TL;DR

Data Scientist (Fintech): Developing predictive models and extracting signals from large-scale financial and alternative datasets with an accent on machine learning, statistics, and quantitative research. Focus on building scalable feature engineering workflows, conducting rigorous backtesting, and translating technical findings into commercial insights.

Location: On-site in Hong Kong

Company

A fast-growing technology-driven firm specializing in financial intelligence.

What you will do

• Develop and deploy machine learning and statistical models for forecasting, pattern recognition, and financial analytics.
• Process structured and unstructured datasets, including market data, alternative datasets, and event-driven sources.
• Design and maintain scalable data preparation and feature engineering workflows.
• Perform rigorous backtesting, validation, and performance analysis to evaluate model robustness.
• Identify proprietary indicators and predictive features to improve 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).
• 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 (Pandas, NumPy, Scikit-Learn, PyTorch, TensorFlow).
• Strong SQL and data querying capabilities.
• Location: Must be 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.

Culture & Benefits

• Exposure to high-performing analytics teams and real-time data systems.
• Opportunity to work with advanced AI/ML applications in the financial intelligence space.