Data Science & Machine Learning
• Lead end-to-end data science projects from design to production.
• Develop machine learning and statistical models for anomaly detection, trading behaviour
classification, risk prediction, and portfolio analytics.
• Perform feature engineering on tick-level trading data and large-scale time-series datasets.
• Conduct model evaluation, backtesting, performance optimization, and documentation.
Database & Data Engineering
• Work extensively with MySQL, OceanBase, and other low-latency databases to process tick-level
and high-frequency datasets.
• Optimize SQL queries and indexing strategies for ultra-fast execution.
• Design and maintain high-performance ETL/ELT pipelines for structured and unstructured data.
Real-Time Processing & Automation
• Build and manage real-time analytics pipelines using Kafka (producers, consumers, streaming).• Develop automated workflows and batch pipelines using Airflow or similar task schedulers.
• Implement monitoring systems for data quality, latency, and pipeline health.
Application & Dashboard Development
• Build internal analytics applications and dashboards using:
- Django (backend APIs, services)
- Streamlit (interactive analytics dashboards)
- Custom widgets and data visualization tools
• Work closely with risk, quant, and trading teams to translate business needs into scalable
technical solutions.
What we’re looking for:
• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a
related field.
• 3–5 years of hands-on data science project experience (production-ready).
• Expertise in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow is a plus).
• Strong experience with MySQL, OceanBase, and low-latency database environments.
• Proven experience building ETL pipelines and optimizing complex SQL queries.
• Familiarity with tick-level market data, market microstructure, and time-series analysis.
• Experience with:
- Kafka for real-time data streaming
- Airflow for workflow automation
- Django / Streamlit for web & dashboard development
• Strong analytical thinking with a problem-solving mindset.
• Ability to work independently in a fast-paced trading environment.
• Good command of Mandarin; English is a plus.
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