About this role
JD - Data Scientist
Reports to: Power Trading Manager (Dotted line to Head of Power Trading)
Location: Suzhou
Job Description:
The Data Scientist will build the digital backbone of the trading floor. You will manage the department's data infrastructure, streamline reporting workflows, and leverage AI/machine learning techniques to enhance forecasting accuracy and operational efficiency.
Key Responsibilities:
- Database & Infrastructure Management:
- Develop, maintain, and optimize the department's project database for trade data, market prices, and fundamental drivers.
- Manage relationships and data feeds (API/FTP) with external market data providers.
- Ensure data integrity, backup, and accessibility for all team members.
- Digital Tools & Automation:
- Design and implement automated reporting dashboards (using tools like Power BI or Tableau) for real-time P&L and risk monitoring.
- Streamline trading support processes by automating repetitive tasks (e.g., data scraping, settlement reconciliation) using Python scripting.
- AI & Advanced Analytics:
- Support trading teams by developing machine learning models for short-term load forecasting and renewable generation prediction.
- Collaborate with the Fundamental Analyst to integrate probabilistic forecasting into long-term price models.
- Management Reporting:
- Prepare advanced data visualizations and analytical summaries for management review and board presentations.
Qualifications & Profile:
- Experience: 3+ years in a Data Science or Quantitative Analysis role, preferably in energy, commodities, or finance.
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a quantitative field.
- Technical Skills:
- Essential: Advanced-level Python and SQL, knowhow in AI assisted coding.
- Visualization: Proficiency in Power BI, Tableau, etc.
- Infrastructure: Knowledge of corporate IT infrastructure system.
- Soft Skills:
- Problem-solving mindset with a focus on automation and efficiency.
- Ability to communicate technical constraints and solutions to non-technical stakeholders.
- Ability to work under pressure with time management skills to handle urgent requests
- Teamwork spirit