About the role
AI summarisedThe Trader/Analyst role supports electricity and gas trading operations by executing market trades, managing portfolios, conducting market analysis, and maintaining analytical tools. The position involves optimizing trading strategies through data-driven insights, coordinating with internal and external teams, and ensuring compliance and physical delivery of power. Candidates are expected to have strong analytical skills, experience with data science tools, and an interest in energy markets and quantitative finance.
UtilitiesOnsite
Key Responsibilities
- Execute approved and compliant market trades and nominations in Power and Gas Markets
- Ensure physical delivery of power through close coordination with power plant on generation dispatch and constraints
- Optimise and extract value as a portfolio basis through close coordination with internal and external business functions
- Support portfolio management activities in the Power and Gas markets
- Assist with fuel procurement and hedging, retail pricing, and exposure analysis
- Manage long-term decarbonisation goals and development plans
- Deploy descriptive/diagnostic/predictive/prescriptive analytics on business performance and market conditions to guide trading decisions
- Collaborate with other business functions to integrate market data into models and tools
- Analyse Singapore’s regulatory and policy developments, and assess impacts to Senoko’s position, strategies, and trading tools
- Keep abreast of latest market intelligence and trends to inform trading strategies
- Lead regular upkeeping, documentation, calibration, and validation of optimisation tools and systems to ensure data accuracy and integrity
- Translate/operationalise analysis, ideas, and roadmap into practical tools, dashboards, and processes
Requirements
- Graduate student in Data Science, Computer Science, Analytics, Mathematics/Statistics, Quantitative Finance, or Engineering (Computing, Electrical, Systems, or related)
- Experience with Pandas, NumPy, Scikit-learn
- Experience with SQL and data engineering concepts
- Experience with Databricks
- Experience with Time-series modelling
- Familiarity with Optimisation (linear programming, mixed-integer programming)
- Familiarity with Data visualisation (Power BI, Tableau, or similar)
- Knowledge of Cloud platforms (AWS, Azure, GCP) is a plus
- Advantage: Knowledge of Power and gas markets, trading, or portfolio management concepts
- Advantage: Background in Quantitative finance or algorithmic trading
- Advantage: Experience in Energy, commodities, or capital markets
- Strong analytical and problem-solving mindset
- Curious about Power and Gas markets and AI applications
- Comfortable working with large, messy datasets
- Able to translate data insights into business impact
- Self-driven, detail-oriented, and eager to learn